Creator · CherryHQ
Last updated · Sep 1, 2026
Cherry Studio first-party tool and bundled-shell routing for general agents. For straightforward local work in shell-capable sessions, run JS/TS with `bun <file>` and one-off JS tools with `bun x`; run Python with `uv run [--with <pkg>] python` and one-off Python CLIs with `uvx`;
Creator · CherryHQ
Last updated · Sep 1, 2026
Cherry Studio first-party tool and bundled-shell routing for general agents. For straightforward local work in shell-capable sessions, run JS/TS with `bun <file>` and one-off JS tools with `bun x`; run Python with `uv run [--with <pkg>] python` and one-off Python CLIs with `uvx`;
Creator · CherryHQ
Last updated · Sep 1, 2026
Cherry Studio first-party tool and bundled-shell routing for general agents. For straightforward local work in shell-capable sessions, run JS/TS with `bun <file>` and one-off JS tools with `bun x`; run Python with `uv run [--with <pkg>] python` and one-off Python CLIs with `uvx`;
Creator · CherryHQ
Last updated · Sep 1, 2026
Cherry Studio first-party tool and bundled-shell routing for general agents. For straightforward local work in shell-capable sessions, run JS/TS with `bun <file>` and one-off JS tools with `bun x`; run Python with `uv run [--with <pkg>] python` and one-off Python CLIs with `uvx`;
Sandbox only
Install targets
Codex install prompt
Install the "cherry-tool-guide" agent skill from https://github.com/CherryHQ/cherry-studio/tree/main/resources/skills/cherry-tool-guide. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Cherry Studio first-party tool and bundled-shell routing for general agents. For straightforward local work in shell-capable sessions, run JS/TS with `bun <file>` and one-off JS tools with `bun x`; run Python with `uv run [--with <pkg>] python` and one-off Python CLIs with `uvx`; search with `rg`. Load this guide before changing project dependencies, deciding whether a tool should be ephemeral or reusable, reading or converting local Office/PDF files, coordinating or delegating across Agent Sessions, or using Cherry-owned web/browser, knowledge, persistent memory, schedules/notifications, IM channels, image generation, artifact reporting, managed CLI, skill, or MCP-server-registration capabilities—even if the user names no tool. Consult it before shell/file workarounds; live tool schemas are authoritative. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"cherryhq-cherry-tool-guide","task":"Install cherry-tool-guide","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add CherryHQ/cherry-studio --skill cherry-tool-guide
Maintenance
fresh
13d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
51K
93/100 Quality · 81/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
51K GitHub stars
Repo activity
51K stars, 4.8K forks
Maintenance
13d since push
License
AGPL-3.0
Install
npx skills add CherryHQ/cherry-studio --skill cherry-tool-guide
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add CherryHQ/cherry-studio --skill cherry-tool-guideDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20cherry-tool-guide%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20cherry-tool-guide%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/cherryhq-cherry-tool-guide/install
Agent should check
Copy prompt
Task: Use cherry-tool-guide in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20cherry-tool-guide%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/cherryhq-cherry-tool-guide/install
Install command: npx skills add CherryHQ/cherry-studio --skill cherry-tool-guide
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/cherryhq-cherry-tool-guide/install
LLM text format
/api/skills/cherryhq-cherry-tool-guide/install?format=text
Find alternatives
/api/skills/search?q=cherry-tool-guide&limit=3
Agent prompt
Use cherry-tool-guide for this task. Review https://www.openagentskill.com/api/skills/cherryhq-cherry-tool-guide/install, then install with: npx skills add CherryHQ/cherry-studio --skill cherry-tool-guideRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/cherryhq-cherry-tool-guide
LLM text
/api/registry/manifest/cherryhq-cherry-tool-guide?format=text
Install alias
/api/registry/install/cherryhq-cherry-tool-guide
Recommend
/api/registry/recommend?task=Use%20cherry-tool-guide%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS51K GitHub stars
Stars/forks activity
PASS51K stars, 4.8K forks; issue activity unavailable in current metadata
Recent maintenance
PASS13d since push
License clarity
PASSAGPL-3.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: cherry-tool-guide description: Cherry Studio first-party tool and bundled-shell routing for general agents. For straightforward local work in shell-capable sessions, run JS/TS with `bun <file>` and one-off JS tools with `bun x`; run Python with `uv run [--with <pkg>] python` and one-off Python CLIs with `uvx`; search with `rg`. Load this guide before changing project dependencies, deciding whether a tool should be ephemeral or reusable, reading or converting local Office/PDF files, coordinating or delegating across Agent Sessions, or using Cherry-owned web/browser, knowledge, persistent memory, schedules/notifications, IM channels, image generation, artifact reporting, managed CLI, skill, or MCP-server-registration capabilities—even if the user names no tool. Consult it before shell/file workarounds; live tool schemas are authoritative. version: 1.4.0 ---
# Cherry Tool Guide
Cherry Studio injects first-party tools into your session over four MCP servers (`mcp__cherry-tools__*`, `mcp__agent-memory__*`, `mcp__skills__*`, `mcp__mcp-manager__*`) and gives shell-capable general agents bundled runtimes for local execution. The MCP tools act on the running app — the user's knowledge bases, IM channels, schedules, managed CLIs, skill library, and MCP server registry — through boundaries only Cherry owns. Shell and file tools cannot reach those app boundaries correctly; use the bundled runtimes only for the local execution cases routed below.
**This file is a router.** It carries only the global rules and the intent → tool → reference table. Each reference holds that domain's prerequisites, sequencing, conditional availability, output interpretation, recovery, and examples. Read the one reference the task needs (and any it cross-links to) before calling — don't work from this page alone.
Tool names here are fully qualified (`mcp__server__tool`); the exact names exposed in your session are authoritative if they ever differ. This guide never restates argument shapes — **the live tool schema in your session is the authoritative source** for parameter names, enums, and required fields. Read it before every call.
## Global rules
- **Check availability first.** Several tools are conditional (each reference says which). If a tool is not in your live tool list, its capability is unavailable *in this session* — say so honestly and stop; never pretend a call succeeded or fabricate a result. - **Don't reach around Cherry's mutation boundaries.** Knowledge bases, IM channels, schedules, managed CLIs, skills, and registered MCP servers are mutated only through these tools. Do not shell out to `npm install`, `git clone`, `crontab`, or hand-edit knowledge or MCP settings files to accomplish these — the tool does bookkeeping (registration, scoping, approval, sync) that a raw shell command skips. Shell is fine for *inspection* (e.g. `command -v` to probe PATH) — just not to perform the owned mutation. - **Honor approval.** `mcp__cherry-tools__kb_manage`, `mcp__cherry-tools__cli_install`, `mcp__cherry-tools__session_create`, `mcp__cherry-tools__session_send`, `mcp__skills__install_skill`, and `mcp__mcp-manager__install_mcp_server` are gated by the session's approval mode. Call them only once the user's intent is clear; if approval is declined, stop and report — do not retry the same effect through another route. - **Intent still gates auto-approved effects.** Memory writes, schedule changes, notifications, and agent/channel configuration may execute without an approval card. Do not call them merely because they are available; first make sure the user requested the effect or it is necessary to complete an already-approved task.
## Routing table
| User intent | Route to | Reference | | --- | --- | --- | | Look up current/online facts, news, docs | `mcp__cherry-tools__web_search` → `mcp__cherry-tools__web_fetch` | [web.md](references/web.md) | | Browser interaction (click, forms, screenshots) | *(unavailable via web built-ins)* | [web.md](references/web.md) | | Answer from the user's own documents | `mcp__cherry-tools__kb_list` → `mcp__cherry-tools__kb_search` → `mcp__cherry-tools__kb_read` | [knowledge.md](references/knowledge.md) | | Add / delete / re-index knowledge | `mcp__cherry-tools__kb_manage` (resolve IDs first; needs approval) | [knowledge.md](references/knowledge.md) | | Read or convert a local document | `mcp__cherry-tools__to_markdown` → read the returned temporary Markdown path as needed | [documents.md](references/documents.md) | | Recall a past fact, correction, or preference | `mcp__agent-memory__memory` (`search`) before re-asking | [memory.md](references/memory.md) | | Save durable knowledge vs. a one-off event | `mcp__agent-memory__memory` (`update` vs. `append`) | [memory.md](references/memory.md) | | Schedule a recurring / future task | `mcp__cherry-tools__cron` (Cherry scheduling only) | [autonomy.md](references/autonomy.md) | | Proactively message the user or send a file | `mcp__cherry-tools__notify` | [autonomy.md](references/autonomy.md) | | Inspect / connect / repair IM channels, rename agent | `mcp__cherry-tools__config` | [autonomy.md](references/autonomy.md) | | Find, create, message, or inspect work across Agent Sessions | `mcp__cherry-tools__session_list` / `session_search` / `session_create` / `session_send` / `session_deliveries` | [sessions.md](references/sessions.md) | | Generate an image | `mcp__cherry-tools__generate_image` (needs a painting model) | [outputs.md](references/outputs.md) | | Declare final deliverable file(s) | `mcp__cherry-tools__report_artifacts` | [outputs.md](references/outputs.md) | | Run JS/TS or Python, invoke a one-off package, search local code/files | bundled `bun`, `uv` / `uvx`, or `rg` according to task lifetime | [cli.md](references/cli.md) | | Find / install a command-line tool | `command -v` check → `mcp__cherry-tools__cli_list` → `mcp__cherry-tools__cli_search` → `mcp__cherry-tools__cli_install` (approval) | [cli.md](references/cli.md) | | Find / install a new capability skill | `mcp__skills__search_skills` → `mcp__skills__install_skill` (approval) | [skills.md](references/skills.md) | | Register a new MCP server the user supplied | `mcp__mcp-manager__install_mcp_server` (approval; never invent the config) | [mcp.md](references/mcp.md) |
## When a tool isn't there
Two different situations, don't confuse them:
- **The tool is absent from your live list** → the capability is unavailable this session (e.g. no knowledge base in scope, or CLI management disabled for a shell-less agent). Explain what's missing and what the user can do; don't work around it with shell/file tools. The reference for that domain says exactly when it can be absent. - **The tool is listed but reports a missing dependency** → e.g. `mcp__cherry-tools__notify` with no connected channel, or `mcp__cherry-tools__generate_image` with no painting model. It stays listed and returns a note; relay the note and point the user at configuration — don't retry blindly or fake success.
On any **tool error result** (bad ID, unsupported channel/file, invalid recipe), read the message and correct the call; don't silently retry the same arguments. On **declined approval**, stop and report — never re-attempt the mutation through a different route.
## Out of scope
Not covered here: SDK-native `Read`/`Edit`/`Bash` and orchestration tools; *calling* the tools of a third-party (user-configured) MCP server — only registering one is in scope, see [mcp.md](references/mcp.md); the AI-SDK chat `read_file` attachment reader (a chat-path tool, not exposed on this MCP surface); and the role-specific `mcp__assistant__*` navigation/diagnosis tools, which belong to the Cherry Assistant and its own guide.
Decision snapshot
50,908 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for cherry-tool-guide, ready for a manual X post.
A practical pick for design or creative work: cherry-tool-guide: Cherry Studio first-party tool and bundled-shell routing for general agents. For straightforward local work in shell-capabl... 50.9K stars https://www.openagentskill.com/skills/cherryhq-cherry-tool-guide?ref=x
Listing + install path for cherry-tool-guide: https://www.openagentskill.com/skills/cherryhq-cherry-tool-guide?ref=x Install: npx skills add CherryHQ/cherry-studio --skill cherry-tool-guide
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to CherryHQ but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/cherryhq-cherry-tool-guide?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/cherryhq-cherry-tool-guide?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/cherryhq-cherry-tool-guide/audit)
[](https://www.openagentskill.com/skills/cherryhq-cherry-tool-guide?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)CherryHQ
@cherryhq
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsSandbox only
Install targets
Codex install prompt
Install the "cherry-tool-guide" agent skill from https://github.com/CherryHQ/cherry-studio/tree/main/resources/skills/cherry-tool-guide. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Cherry Studio first-party tool and bundled-shell routing for general agents. For straightforward local work in shell-capable sessions, run JS/TS with `bun <file>` and one-off JS tools with `bun x`; run Python with `uv run [--with <pkg>] python` and one-off Python CLIs with `uvx`; search with `rg`. Load this guide before changing project dependencies, deciding whether a tool should be ephemeral or reusable, reading or converting local Office/PDF files, coordinating or delegating across Agent Sessions, or using Cherry-owned web/browser, knowledge, persistent memory, schedules/notifications, IM channels, image generation, artifact reporting, managed CLI, skill, or MCP-server-registration capabilities—even if the user names no tool. Consult it before shell/file workarounds; live tool schemas are authoritative. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"cherryhq-cherry-tool-guide","task":"Install cherry-tool-guide","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add CherryHQ/cherry-studio --skill cherry-tool-guide
Maintenance
fresh
13d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
51K
93/100 Quality · 81/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
51K GitHub stars
Repo activity
51K stars, 4.8K forks
Maintenance
13d since push
License
AGPL-3.0
Install
npx skills add CherryHQ/cherry-studio --skill cherry-tool-guide
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add CherryHQ/cherry-studio --skill cherry-tool-guideDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20cherry-tool-guide%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20cherry-tool-guide%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/cherryhq-cherry-tool-guide/install
Agent should check
Copy prompt
Task: Use cherry-tool-guide in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20cherry-tool-guide%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/cherryhq-cherry-tool-guide/install
Install command: npx skills add CherryHQ/cherry-studio --skill cherry-tool-guide
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/cherryhq-cherry-tool-guide/install
LLM text format
/api/skills/cherryhq-cherry-tool-guide/install?format=text
Find alternatives
/api/skills/search?q=cherry-tool-guide&limit=3
Agent prompt
Use cherry-tool-guide for this task. Review https://www.openagentskill.com/api/skills/cherryhq-cherry-tool-guide/install, then install with: npx skills add CherryHQ/cherry-studio --skill cherry-tool-guideRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/cherryhq-cherry-tool-guide
LLM text
/api/registry/manifest/cherryhq-cherry-tool-guide?format=text
Install alias
/api/registry/install/cherryhq-cherry-tool-guide
Recommend
/api/registry/recommend?task=Use%20cherry-tool-guide%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS51K GitHub stars
Stars/forks activity
PASS51K stars, 4.8K forks; issue activity unavailable in current metadata
Recent maintenance
PASS13d since push
License clarity
PASSAGPL-3.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: cherry-tool-guide description: Cherry Studio first-party tool and bundled-shell routing for general agents. For straightforward local work in shell-capable sessions, run JS/TS with `bun <file>` and one-off JS tools with `bun x`; run Python with `uv run [--with <pkg>] python` and one-off Python CLIs with `uvx`; search with `rg`. Load this guide before changing project dependencies, deciding whether a tool should be ephemeral or reusable, reading or converting local Office/PDF files, coordinating or delegating across Agent Sessions, or using Cherry-owned web/browser, knowledge, persistent memory, schedules/notifications, IM channels, image generation, artifact reporting, managed CLI, skill, or MCP-server-registration capabilities—even if the user names no tool. Consult it before shell/file workarounds; live tool schemas are authoritative. version: 1.4.0 ---
# Cherry Tool Guide
Cherry Studio injects first-party tools into your session over four MCP servers (`mcp__cherry-tools__*`, `mcp__agent-memory__*`, `mcp__skills__*`, `mcp__mcp-manager__*`) and gives shell-capable general agents bundled runtimes for local execution. The MCP tools act on the running app — the user's knowledge bases, IM channels, schedules, managed CLIs, skill library, and MCP server registry — through boundaries only Cherry owns. Shell and file tools cannot reach those app boundaries correctly; use the bundled runtimes only for the local execution cases routed below.
**This file is a router.** It carries only the global rules and the intent → tool → reference table. Each reference holds that domain's prerequisites, sequencing, conditional availability, output interpretation, recovery, and examples. Read the one reference the task needs (and any it cross-links to) before calling — don't work from this page alone.
Tool names here are fully qualified (`mcp__server__tool`); the exact names exposed in your session are authoritative if they ever differ. This guide never restates argument shapes — **the live tool schema in your session is the authoritative source** for parameter names, enums, and required fields. Read it before every call.
## Global rules
- **Check availability first.** Several tools are conditional (each reference says which). If a tool is not in your live tool list, its capability is unavailable *in this session* — say so honestly and stop; never pretend a call succeeded or fabricate a result. - **Don't reach around Cherry's mutation boundaries.** Knowledge bases, IM channels, schedules, managed CLIs, skills, and registered MCP servers are mutated only through these tools. Do not shell out to `npm install`, `git clone`, `crontab`, or hand-edit knowledge or MCP settings files to accomplish these — the tool does bookkeeping (registration, scoping, approval, sync) that a raw shell command skips. Shell is fine for *inspection* (e.g. `command -v` to probe PATH) — just not to perform the owned mutation. - **Honor approval.** `mcp__cherry-tools__kb_manage`, `mcp__cherry-tools__cli_install`, `mcp__cherry-tools__session_create`, `mcp__cherry-tools__session_send`, `mcp__skills__install_skill`, and `mcp__mcp-manager__install_mcp_server` are gated by the session's approval mode. Call them only once the user's intent is clear; if approval is declined, stop and report — do not retry the same effect through another route. - **Intent still gates auto-approved effects.** Memory writes, schedule changes, notifications, and agent/channel configuration may execute without an approval card. Do not call them merely because they are available; first make sure the user requested the effect or it is necessary to complete an already-approved task.
## Routing table
| User intent | Route to | Reference | | --- | --- | --- | | Look up current/online facts, news, docs | `mcp__cherry-tools__web_search` → `mcp__cherry-tools__web_fetch` | [web.md](references/web.md) | | Browser interaction (click, forms, screenshots) | *(unavailable via web built-ins)* | [web.md](references/web.md) | | Answer from the user's own documents | `mcp__cherry-tools__kb_list` → `mcp__cherry-tools__kb_search` → `mcp__cherry-tools__kb_read` | [knowledge.md](references/knowledge.md) | | Add / delete / re-index knowledge | `mcp__cherry-tools__kb_manage` (resolve IDs first; needs approval) | [knowledge.md](references/knowledge.md) | | Read or convert a local document | `mcp__cherry-tools__to_markdown` → read the returned temporary Markdown path as needed | [documents.md](references/documents.md) | | Recall a past fact, correction, or preference | `mcp__agent-memory__memory` (`search`) before re-asking | [memory.md](references/memory.md) | | Save durable knowledge vs. a one-off event | `mcp__agent-memory__memory` (`update` vs. `append`) | [memory.md](references/memory.md) | | Schedule a recurring / future task | `mcp__cherry-tools__cron` (Cherry scheduling only) | [autonomy.md](references/autonomy.md) | | Proactively message the user or send a file | `mcp__cherry-tools__notify` | [autonomy.md](references/autonomy.md) | | Inspect / connect / repair IM channels, rename agent | `mcp__cherry-tools__config` | [autonomy.md](references/autonomy.md) | | Find, create, message, or inspect work across Agent Sessions | `mcp__cherry-tools__session_list` / `session_search` / `session_create` / `session_send` / `session_deliveries` | [sessions.md](references/sessions.md) | | Generate an image | `mcp__cherry-tools__generate_image` (needs a painting model) | [outputs.md](references/outputs.md) | | Declare final deliverable file(s) | `mcp__cherry-tools__report_artifacts` | [outputs.md](references/outputs.md) | | Run JS/TS or Python, invoke a one-off package, search local code/files | bundled `bun`, `uv` / `uvx`, or `rg` according to task lifetime | [cli.md](references/cli.md) | | Find / install a command-line tool | `command -v` check → `mcp__cherry-tools__cli_list` → `mcp__cherry-tools__cli_search` → `mcp__cherry-tools__cli_install` (approval) | [cli.md](references/cli.md) | | Find / install a new capability skill | `mcp__skills__search_skills` → `mcp__skills__install_skill` (approval) | [skills.md](references/skills.md) | | Register a new MCP server the user supplied | `mcp__mcp-manager__install_mcp_server` (approval; never invent the config) | [mcp.md](references/mcp.md) |
## When a tool isn't there
Two different situations, don't confuse them:
- **The tool is absent from your live list** → the capability is unavailable this session (e.g. no knowledge base in scope, or CLI management disabled for a shell-less agent). Explain what's missing and what the user can do; don't work around it with shell/file tools. The reference for that domain says exactly when it can be absent. - **The tool is listed but reports a missing dependency** → e.g. `mcp__cherry-tools__notify` with no connected channel, or `mcp__cherry-tools__generate_image` with no painting model. It stays listed and returns a note; relay the note and point the user at configuration — don't retry blindly or fake success.
On any **tool error result** (bad ID, unsupported channel/file, invalid recipe), read the message and correct the call; don't silently retry the same arguments. On **declined approval**, stop and report — never re-attempt the mutation through a different route.
## Out of scope
Not covered here: SDK-native `Read`/`Edit`/`Bash` and orchestration tools; *calling* the tools of a third-party (user-configured) MCP server — only registering one is in scope, see [mcp.md](references/mcp.md); the AI-SDK chat `read_file` attachment reader (a chat-path tool, not exposed on this MCP surface); and the role-specific `mcp__assistant__*` navigation/diagnosis tools, which belong to the Cherry Assistant and its own guide.
Decision snapshot
50,908 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for cherry-tool-guide, ready for a manual X post.
A practical pick for design or creative work: cherry-tool-guide: Cherry Studio first-party tool and bundled-shell routing for general agents. For straightforward local work in shell-capabl... 50.9K stars https://www.openagentskill.com/skills/cherryhq-cherry-tool-guide?ref=x
Listing + install path for cherry-tool-guide: https://www.openagentskill.com/skills/cherryhq-cherry-tool-guide?ref=x Install: npx skills add CherryHQ/cherry-studio --skill cherry-tool-guide
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to CherryHQ but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/cherryhq-cherry-tool-guide?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/cherryhq-cherry-tool-guide?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/cherryhq-cherry-tool-guide/audit)
[](https://www.openagentskill.com/skills/cherryhq-cherry-tool-guide?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)CherryHQ
@cherryhq
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsSandbox only
Install targets
Codex install prompt
Install the "cherry-tool-guide" agent skill from https://github.com/CherryHQ/cherry-studio/tree/main/resources/skills/cherry-tool-guide. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Cherry Studio first-party tool and bundled-shell routing for general agents. For straightforward local work in shell-capable sessions, run JS/TS with `bun <file>` and one-off JS tools with `bun x`; run Python with `uv run [--with <pkg>] python` and one-off Python CLIs with `uvx`; search with `rg`. Load this guide before changing project dependencies, deciding whether a tool should be ephemeral or reusable, reading or converting local Office/PDF files, coordinating or delegating across Agent Sessions, or using Cherry-owned web/browser, knowledge, persistent memory, schedules/notifications, IM channels, image generation, artifact reporting, managed CLI, skill, or MCP-server-registration capabilities—even if the user names no tool. Consult it before shell/file workarounds; live tool schemas are authoritative. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"cherryhq-cherry-tool-guide","task":"Install cherry-tool-guide","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add CherryHQ/cherry-studio --skill cherry-tool-guide
Maintenance
fresh
13d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
51K
93/100 Quality · 81/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
51K GitHub stars
Repo activity
51K stars, 4.8K forks
Maintenance
13d since push
License
AGPL-3.0
Install
npx skills add CherryHQ/cherry-studio --skill cherry-tool-guide
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add CherryHQ/cherry-studio --skill cherry-tool-guideDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20cherry-tool-guide%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20cherry-tool-guide%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/cherryhq-cherry-tool-guide/install
Agent should check
Copy prompt
Task: Use cherry-tool-guide in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20cherry-tool-guide%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/cherryhq-cherry-tool-guide/install
Install command: npx skills add CherryHQ/cherry-studio --skill cherry-tool-guide
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/cherryhq-cherry-tool-guide/install
LLM text format
/api/skills/cherryhq-cherry-tool-guide/install?format=text
Find alternatives
/api/skills/search?q=cherry-tool-guide&limit=3
Agent prompt
Use cherry-tool-guide for this task. Review https://www.openagentskill.com/api/skills/cherryhq-cherry-tool-guide/install, then install with: npx skills add CherryHQ/cherry-studio --skill cherry-tool-guideRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/cherryhq-cherry-tool-guide
LLM text
/api/registry/manifest/cherryhq-cherry-tool-guide?format=text
Install alias
/api/registry/install/cherryhq-cherry-tool-guide
Recommend
/api/registry/recommend?task=Use%20cherry-tool-guide%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS51K GitHub stars
Stars/forks activity
PASS51K stars, 4.8K forks; issue activity unavailable in current metadata
Recent maintenance
PASS13d since push
License clarity
PASSAGPL-3.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: cherry-tool-guide description: Cherry Studio first-party tool and bundled-shell routing for general agents. For straightforward local work in shell-capable sessions, run JS/TS with `bun <file>` and one-off JS tools with `bun x`; run Python with `uv run [--with <pkg>] python` and one-off Python CLIs with `uvx`; search with `rg`. Load this guide before changing project dependencies, deciding whether a tool should be ephemeral or reusable, reading or converting local Office/PDF files, coordinating or delegating across Agent Sessions, or using Cherry-owned web/browser, knowledge, persistent memory, schedules/notifications, IM channels, image generation, artifact reporting, managed CLI, skill, or MCP-server-registration capabilities—even if the user names no tool. Consult it before shell/file workarounds; live tool schemas are authoritative. version: 1.4.0 ---
# Cherry Tool Guide
Cherry Studio injects first-party tools into your session over four MCP servers (`mcp__cherry-tools__*`, `mcp__agent-memory__*`, `mcp__skills__*`, `mcp__mcp-manager__*`) and gives shell-capable general agents bundled runtimes for local execution. The MCP tools act on the running app — the user's knowledge bases, IM channels, schedules, managed CLIs, skill library, and MCP server registry — through boundaries only Cherry owns. Shell and file tools cannot reach those app boundaries correctly; use the bundled runtimes only for the local execution cases routed below.
**This file is a router.** It carries only the global rules and the intent → tool → reference table. Each reference holds that domain's prerequisites, sequencing, conditional availability, output interpretation, recovery, and examples. Read the one reference the task needs (and any it cross-links to) before calling — don't work from this page alone.
Tool names here are fully qualified (`mcp__server__tool`); the exact names exposed in your session are authoritative if they ever differ. This guide never restates argument shapes — **the live tool schema in your session is the authoritative source** for parameter names, enums, and required fields. Read it before every call.
## Global rules
- **Check availability first.** Several tools are conditional (each reference says which). If a tool is not in your live tool list, its capability is unavailable *in this session* — say so honestly and stop; never pretend a call succeeded or fabricate a result. - **Don't reach around Cherry's mutation boundaries.** Knowledge bases, IM channels, schedules, managed CLIs, skills, and registered MCP servers are mutated only through these tools. Do not shell out to `npm install`, `git clone`, `crontab`, or hand-edit knowledge or MCP settings files to accomplish these — the tool does bookkeeping (registration, scoping, approval, sync) that a raw shell command skips. Shell is fine for *inspection* (e.g. `command -v` to probe PATH) — just not to perform the owned mutation. - **Honor approval.** `mcp__cherry-tools__kb_manage`, `mcp__cherry-tools__cli_install`, `mcp__cherry-tools__session_create`, `mcp__cherry-tools__session_send`, `mcp__skills__install_skill`, and `mcp__mcp-manager__install_mcp_server` are gated by the session's approval mode. Call them only once the user's intent is clear; if approval is declined, stop and report — do not retry the same effect through another route. - **Intent still gates auto-approved effects.** Memory writes, schedule changes, notifications, and agent/channel configuration may execute without an approval card. Do not call them merely because they are available; first make sure the user requested the effect or it is necessary to complete an already-approved task.
## Routing table
| User intent | Route to | Reference | | --- | --- | --- | | Look up current/online facts, news, docs | `mcp__cherry-tools__web_search` → `mcp__cherry-tools__web_fetch` | [web.md](references/web.md) | | Browser interaction (click, forms, screenshots) | *(unavailable via web built-ins)* | [web.md](references/web.md) | | Answer from the user's own documents | `mcp__cherry-tools__kb_list` → `mcp__cherry-tools__kb_search` → `mcp__cherry-tools__kb_read` | [knowledge.md](references/knowledge.md) | | Add / delete / re-index knowledge | `mcp__cherry-tools__kb_manage` (resolve IDs first; needs approval) | [knowledge.md](references/knowledge.md) | | Read or convert a local document | `mcp__cherry-tools__to_markdown` → read the returned temporary Markdown path as needed | [documents.md](references/documents.md) | | Recall a past fact, correction, or preference | `mcp__agent-memory__memory` (`search`) before re-asking | [memory.md](references/memory.md) | | Save durable knowledge vs. a one-off event | `mcp__agent-memory__memory` (`update` vs. `append`) | [memory.md](references/memory.md) | | Schedule a recurring / future task | `mcp__cherry-tools__cron` (Cherry scheduling only) | [autonomy.md](references/autonomy.md) | | Proactively message the user or send a file | `mcp__cherry-tools__notify` | [autonomy.md](references/autonomy.md) | | Inspect / connect / repair IM channels, rename agent | `mcp__cherry-tools__config` | [autonomy.md](references/autonomy.md) | | Find, create, message, or inspect work across Agent Sessions | `mcp__cherry-tools__session_list` / `session_search` / `session_create` / `session_send` / `session_deliveries` | [sessions.md](references/sessions.md) | | Generate an image | `mcp__cherry-tools__generate_image` (needs a painting model) | [outputs.md](references/outputs.md) | | Declare final deliverable file(s) | `mcp__cherry-tools__report_artifacts` | [outputs.md](references/outputs.md) | | Run JS/TS or Python, invoke a one-off package, search local code/files | bundled `bun`, `uv` / `uvx`, or `rg` according to task lifetime | [cli.md](references/cli.md) | | Find / install a command-line tool | `command -v` check → `mcp__cherry-tools__cli_list` → `mcp__cherry-tools__cli_search` → `mcp__cherry-tools__cli_install` (approval) | [cli.md](references/cli.md) | | Find / install a new capability skill | `mcp__skills__search_skills` → `mcp__skills__install_skill` (approval) | [skills.md](references/skills.md) | | Register a new MCP server the user supplied | `mcp__mcp-manager__install_mcp_server` (approval; never invent the config) | [mcp.md](references/mcp.md) |
## When a tool isn't there
Two different situations, don't confuse them:
- **The tool is absent from your live list** → the capability is unavailable this session (e.g. no knowledge base in scope, or CLI management disabled for a shell-less agent). Explain what's missing and what the user can do; don't work around it with shell/file tools. The reference for that domain says exactly when it can be absent. - **The tool is listed but reports a missing dependency** → e.g. `mcp__cherry-tools__notify` with no connected channel, or `mcp__cherry-tools__generate_image` with no painting model. It stays listed and returns a note; relay the note and point the user at configuration — don't retry blindly or fake success.
On any **tool error result** (bad ID, unsupported channel/file, invalid recipe), read the message and correct the call; don't silently retry the same arguments. On **declined approval**, stop and report — never re-attempt the mutation through a different route.
## Out of scope
Not covered here: SDK-native `Read`/`Edit`/`Bash` and orchestration tools; *calling* the tools of a third-party (user-configured) MCP server — only registering one is in scope, see [mcp.md](references/mcp.md); the AI-SDK chat `read_file` attachment reader (a chat-path tool, not exposed on this MCP surface); and the role-specific `mcp__assistant__*` navigation/diagnosis tools, which belong to the Cherry Assistant and its own guide.
Decision snapshot
50,908 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for cherry-tool-guide, ready for a manual X post.
A practical pick for design or creative work: cherry-tool-guide: Cherry Studio first-party tool and bundled-shell routing for general agents. For straightforward local work in shell-capabl... 50.9K stars https://www.openagentskill.com/skills/cherryhq-cherry-tool-guide?ref=x
Listing + install path for cherry-tool-guide: https://www.openagentskill.com/skills/cherryhq-cherry-tool-guide?ref=x Install: npx skills add CherryHQ/cherry-studio --skill cherry-tool-guide
Listing source
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Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
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[](https://www.openagentskill.com/skills/cherryhq-cherry-tool-guide?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)CherryHQ
@cherryhq
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
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Academic Research Skills for Claude Code: research → write → review → revise → finalize
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Run autonomous deep research over web and local sources
28.0K StarsSandbox only
Install targets
Codex install prompt
Install the "cherry-tool-guide" agent skill from https://github.com/CherryHQ/cherry-studio/tree/main/resources/skills/cherry-tool-guide. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Cherry Studio first-party tool and bundled-shell routing for general agents. For straightforward local work in shell-capable sessions, run JS/TS with `bun <file>` and one-off JS tools with `bun x`; run Python with `uv run [--with <pkg>] python` and one-off Python CLIs with `uvx`; search with `rg`. Load this guide before changing project dependencies, deciding whether a tool should be ephemeral or reusable, reading or converting local Office/PDF files, coordinating or delegating across Agent Sessions, or using Cherry-owned web/browser, knowledge, persistent memory, schedules/notifications, IM channels, image generation, artifact reporting, managed CLI, skill, or MCP-server-registration capabilities—even if the user names no tool. Consult it before shell/file workarounds; live tool schemas are authoritative. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"cherryhq-cherry-tool-guide","task":"Install cherry-tool-guide","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add CherryHQ/cherry-studio --skill cherry-tool-guide
Maintenance
fresh
13d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
51K
93/100 Quality · 81/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
51K GitHub stars
Repo activity
51K stars, 4.8K forks
Maintenance
13d since push
License
AGPL-3.0
Install
npx skills add CherryHQ/cherry-studio --skill cherry-tool-guide
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add CherryHQ/cherry-studio --skill cherry-tool-guideDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20cherry-tool-guide%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20cherry-tool-guide%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/cherryhq-cherry-tool-guide/install
Agent should check
Copy prompt
Task: Use cherry-tool-guide in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20cherry-tool-guide%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/cherryhq-cherry-tool-guide/install
Install command: npx skills add CherryHQ/cherry-studio --skill cherry-tool-guide
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/cherryhq-cherry-tool-guide/install
LLM text format
/api/skills/cherryhq-cherry-tool-guide/install?format=text
Find alternatives
/api/skills/search?q=cherry-tool-guide&limit=3
Agent prompt
Use cherry-tool-guide for this task. Review https://www.openagentskill.com/api/skills/cherryhq-cherry-tool-guide/install, then install with: npx skills add CherryHQ/cherry-studio --skill cherry-tool-guideRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/cherryhq-cherry-tool-guide
LLM text
/api/registry/manifest/cherryhq-cherry-tool-guide?format=text
Install alias
/api/registry/install/cherryhq-cherry-tool-guide
Recommend
/api/registry/recommend?task=Use%20cherry-tool-guide%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS51K GitHub stars
Stars/forks activity
PASS51K stars, 4.8K forks; issue activity unavailable in current metadata
Recent maintenance
PASS13d since push
License clarity
PASSAGPL-3.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: cherry-tool-guide description: Cherry Studio first-party tool and bundled-shell routing for general agents. For straightforward local work in shell-capable sessions, run JS/TS with `bun <file>` and one-off JS tools with `bun x`; run Python with `uv run [--with <pkg>] python` and one-off Python CLIs with `uvx`; search with `rg`. Load this guide before changing project dependencies, deciding whether a tool should be ephemeral or reusable, reading or converting local Office/PDF files, coordinating or delegating across Agent Sessions, or using Cherry-owned web/browser, knowledge, persistent memory, schedules/notifications, IM channels, image generation, artifact reporting, managed CLI, skill, or MCP-server-registration capabilities—even if the user names no tool. Consult it before shell/file workarounds; live tool schemas are authoritative. version: 1.4.0 ---
# Cherry Tool Guide
Cherry Studio injects first-party tools into your session over four MCP servers (`mcp__cherry-tools__*`, `mcp__agent-memory__*`, `mcp__skills__*`, `mcp__mcp-manager__*`) and gives shell-capable general agents bundled runtimes for local execution. The MCP tools act on the running app — the user's knowledge bases, IM channels, schedules, managed CLIs, skill library, and MCP server registry — through boundaries only Cherry owns. Shell and file tools cannot reach those app boundaries correctly; use the bundled runtimes only for the local execution cases routed below.
**This file is a router.** It carries only the global rules and the intent → tool → reference table. Each reference holds that domain's prerequisites, sequencing, conditional availability, output interpretation, recovery, and examples. Read the one reference the task needs (and any it cross-links to) before calling — don't work from this page alone.
Tool names here are fully qualified (`mcp__server__tool`); the exact names exposed in your session are authoritative if they ever differ. This guide never restates argument shapes — **the live tool schema in your session is the authoritative source** for parameter names, enums, and required fields. Read it before every call.
## Global rules
- **Check availability first.** Several tools are conditional (each reference says which). If a tool is not in your live tool list, its capability is unavailable *in this session* — say so honestly and stop; never pretend a call succeeded or fabricate a result. - **Don't reach around Cherry's mutation boundaries.** Knowledge bases, IM channels, schedules, managed CLIs, skills, and registered MCP servers are mutated only through these tools. Do not shell out to `npm install`, `git clone`, `crontab`, or hand-edit knowledge or MCP settings files to accomplish these — the tool does bookkeeping (registration, scoping, approval, sync) that a raw shell command skips. Shell is fine for *inspection* (e.g. `command -v` to probe PATH) — just not to perform the owned mutation. - **Honor approval.** `mcp__cherry-tools__kb_manage`, `mcp__cherry-tools__cli_install`, `mcp__cherry-tools__session_create`, `mcp__cherry-tools__session_send`, `mcp__skills__install_skill`, and `mcp__mcp-manager__install_mcp_server` are gated by the session's approval mode. Call them only once the user's intent is clear; if approval is declined, stop and report — do not retry the same effect through another route. - **Intent still gates auto-approved effects.** Memory writes, schedule changes, notifications, and agent/channel configuration may execute without an approval card. Do not call them merely because they are available; first make sure the user requested the effect or it is necessary to complete an already-approved task.
## Routing table
| User intent | Route to | Reference | | --- | --- | --- | | Look up current/online facts, news, docs | `mcp__cherry-tools__web_search` → `mcp__cherry-tools__web_fetch` | [web.md](references/web.md) | | Browser interaction (click, forms, screenshots) | *(unavailable via web built-ins)* | [web.md](references/web.md) | | Answer from the user's own documents | `mcp__cherry-tools__kb_list` → `mcp__cherry-tools__kb_search` → `mcp__cherry-tools__kb_read` | [knowledge.md](references/knowledge.md) | | Add / delete / re-index knowledge | `mcp__cherry-tools__kb_manage` (resolve IDs first; needs approval) | [knowledge.md](references/knowledge.md) | | Read or convert a local document | `mcp__cherry-tools__to_markdown` → read the returned temporary Markdown path as needed | [documents.md](references/documents.md) | | Recall a past fact, correction, or preference | `mcp__agent-memory__memory` (`search`) before re-asking | [memory.md](references/memory.md) | | Save durable knowledge vs. a one-off event | `mcp__agent-memory__memory` (`update` vs. `append`) | [memory.md](references/memory.md) | | Schedule a recurring / future task | `mcp__cherry-tools__cron` (Cherry scheduling only) | [autonomy.md](references/autonomy.md) | | Proactively message the user or send a file | `mcp__cherry-tools__notify` | [autonomy.md](references/autonomy.md) | | Inspect / connect / repair IM channels, rename agent | `mcp__cherry-tools__config` | [autonomy.md](references/autonomy.md) | | Find, create, message, or inspect work across Agent Sessions | `mcp__cherry-tools__session_list` / `session_search` / `session_create` / `session_send` / `session_deliveries` | [sessions.md](references/sessions.md) | | Generate an image | `mcp__cherry-tools__generate_image` (needs a painting model) | [outputs.md](references/outputs.md) | | Declare final deliverable file(s) | `mcp__cherry-tools__report_artifacts` | [outputs.md](references/outputs.md) | | Run JS/TS or Python, invoke a one-off package, search local code/files | bundled `bun`, `uv` / `uvx`, or `rg` according to task lifetime | [cli.md](references/cli.md) | | Find / install a command-line tool | `command -v` check → `mcp__cherry-tools__cli_list` → `mcp__cherry-tools__cli_search` → `mcp__cherry-tools__cli_install` (approval) | [cli.md](references/cli.md) | | Find / install a new capability skill | `mcp__skills__search_skills` → `mcp__skills__install_skill` (approval) | [skills.md](references/skills.md) | | Register a new MCP server the user supplied | `mcp__mcp-manager__install_mcp_server` (approval; never invent the config) | [mcp.md](references/mcp.md) |
## When a tool isn't there
Two different situations, don't confuse them:
- **The tool is absent from your live list** → the capability is unavailable this session (e.g. no knowledge base in scope, or CLI management disabled for a shell-less agent). Explain what's missing and what the user can do; don't work around it with shell/file tools. The reference for that domain says exactly when it can be absent. - **The tool is listed but reports a missing dependency** → e.g. `mcp__cherry-tools__notify` with no connected channel, or `mcp__cherry-tools__generate_image` with no painting model. It stays listed and returns a note; relay the note and point the user at configuration — don't retry blindly or fake success.
On any **tool error result** (bad ID, unsupported channel/file, invalid recipe), read the message and correct the call; don't silently retry the same arguments. On **declined approval**, stop and report — never re-attempt the mutation through a different route.
## Out of scope
Not covered here: SDK-native `Read`/`Edit`/`Bash` and orchestration tools; *calling* the tools of a third-party (user-configured) MCP server — only registering one is in scope, see [mcp.md](references/mcp.md); the AI-SDK chat `read_file` attachment reader (a chat-path tool, not exposed on this MCP surface); and the role-specific `mcp__assistant__*` navigation/diagnosis tools, which belong to the Cherry Assistant and its own guide.
Decision snapshot
50,908 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for cherry-tool-guide, ready for a manual X post.
A practical pick for design or creative work: cherry-tool-guide: Cherry Studio first-party tool and bundled-shell routing for general agents. For straightforward local work in shell-capabl... 50.9K stars https://www.openagentskill.com/skills/cherryhq-cherry-tool-guide?ref=x
Listing + install path for cherry-tool-guide: https://www.openagentskill.com/skills/cherryhq-cherry-tool-guide?ref=x Install: npx skills add CherryHQ/cherry-studio --skill cherry-tool-guide
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to CherryHQ but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/cherryhq-cherry-tool-guide?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/cherryhq-cherry-tool-guide?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/cherryhq-cherry-tool-guide/audit)
[](https://www.openagentskill.com/skills/cherryhq-cherry-tool-guide?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)CherryHQ
@cherryhq
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsPermission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness