Creator · a5c-ai
Last updated · Sep 2, 2026
Mandatory memory persistence system across session resets using three markdown surfaces in .claude/cc10x/. Iron law - every workflow must load at start and update at end.
Creator · a5c-ai
Last updated · Sep 2, 2026
Mandatory memory persistence system across session resets using three markdown surfaces in .claude/cc10x/. Iron law - every workflow must load at start and update at end.
Creator · a5c-ai
Last updated · Sep 2, 2026
Mandatory memory persistence system across session resets using three markdown surfaces in .claude/cc10x/. Iron law - every workflow must load at start and update at end.
Creator · a5c-ai
Last updated · Sep 2, 2026
Mandatory memory persistence system across session resets using three markdown surfaces in .claude/cc10x/. Iron law - every workflow must load at start and update at end.
Sandbox only
Install targets
Codex install prompt
Install the "session-memory" agent skill from https://github.com/a5c-ai/babysitter/tree/main/library/methodologies/cc10x/skills/session-memory. 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: Mandatory memory persistence system across session resets using three markdown surfaces in .claude/cc10x/. Iron law - every workflow must load at start and update at end. 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":"a5c-ai-session-memory","task":"Install session-memory","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
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add a5c-ai/babysitter --skill session-memory
Maintenance
fresh
5d since push
Risk
Safe to try
Quality score needs review
GitHub quality
1.8K
79/100 Quality · 81/100 Trust
Coverage tags
Review notes
Quality score needs review
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
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Safe to tryA 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
1.8K GitHub stars
Repo activity
1.8K stars, 103 forks
Maintenance
5d since push
License
MIT
Install
npx skills add a5c-ai/babysitter --skill session-memory
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 a5c-ai/babysitter --skill session-memoryDo not use when
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 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%20session-memory%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20session-memory%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/a5c-ai-session-memory/install
Agent should check
Copy prompt
Task: Use session-memory in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20session-memory%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/a5c-ai-session-memory/install
Install command: npx skills add a5c-ai/babysitter --skill session-memory
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/a5c-ai-session-memory/install
LLM text format
/api/skills/a5c-ai-session-memory/install?format=text
Find alternatives
/api/skills/search?q=session-memory&limit=3
Agent prompt
Use session-memory for this task. Review https://www.openagentskill.com/api/skills/a5c-ai-session-memory/install, then install with: npx skills add a5c-ai/babysitter --skill session-memoryRegistry 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/a5c-ai-session-memory
LLM text
/api/registry/manifest/a5c-ai-session-memory?format=text
Install alias
/api/registry/install/a5c-ai-session-memory
Recommend
/api/registry/recommend?task=Use%20session-memory%20in%20an%20agent%20workflow&limit=3
Agent fit
Workflow automation
Use-case tags
Platforms
Claude Code
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
Workflow automation
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
PASS1.8K GitHub stars
Stars/forks activity
INFO1.8K stars, 103 forks; issue activity unavailable in current metadata
Recent maintenance
PASS5d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Run multimodal agents that operate desktop interfaces
Connect agents to hundreds of workflow automations
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
--- name: session-memory description: Mandatory memory persistence system across session resets using three markdown surfaces in .claude/cc10x/. Iron law - every workflow must load at start and update at end. allowed-tools: Read, Write, Edit, Bash, Grep, Glob graph: domains: [domain:software-engineering] skillAreas: [skill-area:agentic-loops, skill-area:orchestration-loop] workflows: [workflow:feature-development] topics: [topic:developer-experience] roles: [role:tech-lead, role:backend-engineer] 2. **patterns.md** -- Project conventions, architecture decisions, common gotchas, reusable solutions 3. **progress.md** -- Task completion tracking with verification evidence
---
## Iron Law
EVERY WORKFLOW MUST: 1. LOAD memory at START (and before key decisions) 2. UPDATE memory at END (and after learnings/decisions)
## Stable Edit Anchors
Safe section headers for Edit operations: - activeContext: `## Recent Changes`, `## Learnings`, `## References` - patterns: `## Common Gotchas`, `## Project SKILL_HINTS` - progress: `## Completed`, `## Verification`
## Read-Edit-Verify Pattern
1. Read file 2. Verify anchor exists 3. Edit with exact `old_string` 4. Read back to confirm
## Tool Rules
- Use `Write()` for NEW files (permission-free) - Use `Edit()` for EXISTING files (permission-free) - Never use `Write()` to overwrite existing files - Never compound commands (`mkdir && cat`)
## When to Use
- At the start of every CC10X workflow (load) - At the end of every CC10X workflow (update) - Before making key decisions (check patterns) - After discovering learnings or gotchas (persist)
## Agents Used
All CC10X agents use this skill. The cc10x-router manages load/update lifecycle.
Source provenance
Decision snapshot
1,759 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 session-memory, ready for a manual X post.
session-memory: Mandatory memory persistence system across session resets using three markdown surfaces in .c... 1.8K stars https://www.openagentskill.com/skills/a5c-ai-session-memory?ref=x
Listing + install path for session-memory: https://www.openagentskill.com/skills/a5c-ai-session-memory?ref=x Install: npx skills add a5c-ai/babysitter --skill session-memory
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 a5c-ai 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/a5c-ai-session-memory?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/a5c-ai-session-memory?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/a5c-ai-session-memory/audit)
[](https://www.openagentskill.com/skills/a5c-ai-session-memory?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)a5c-ai
@a5c-ai
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
37.0K Starsn8n
Connect agents to hundreds of workflow automations
194.1K StarsMoneyPrinterTurbo
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
88.5K StarsTasmota
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
24.7K StarsSandbox only
Install targets
Codex install prompt
Install the "session-memory" agent skill from https://github.com/a5c-ai/babysitter/tree/main/library/methodologies/cc10x/skills/session-memory. 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: Mandatory memory persistence system across session resets using three markdown surfaces in .claude/cc10x/. Iron law - every workflow must load at start and update at end. 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":"a5c-ai-session-memory","task":"Install session-memory","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
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add a5c-ai/babysitter --skill session-memory
Maintenance
fresh
5d since push
Risk
Safe to try
Quality score needs review
GitHub quality
1.8K
79/100 Quality · 81/100 Trust
Coverage tags
Review notes
Quality score needs review
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
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Safe to tryA 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
1.8K GitHub stars
Repo activity
1.8K stars, 103 forks
Maintenance
5d since push
License
MIT
Install
npx skills add a5c-ai/babysitter --skill session-memory
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 a5c-ai/babysitter --skill session-memoryDo not use when
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 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%20session-memory%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20session-memory%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/a5c-ai-session-memory/install
Agent should check
Copy prompt
Task: Use session-memory in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20session-memory%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/a5c-ai-session-memory/install
Install command: npx skills add a5c-ai/babysitter --skill session-memory
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/a5c-ai-session-memory/install
LLM text format
/api/skills/a5c-ai-session-memory/install?format=text
Find alternatives
/api/skills/search?q=session-memory&limit=3
Agent prompt
Use session-memory for this task. Review https://www.openagentskill.com/api/skills/a5c-ai-session-memory/install, then install with: npx skills add a5c-ai/babysitter --skill session-memoryRegistry 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/a5c-ai-session-memory
LLM text
/api/registry/manifest/a5c-ai-session-memory?format=text
Install alias
/api/registry/install/a5c-ai-session-memory
Recommend
/api/registry/recommend?task=Use%20session-memory%20in%20an%20agent%20workflow&limit=3
Agent fit
Workflow automation
Use-case tags
Platforms
Claude Code
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
Workflow automation
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
PASS1.8K GitHub stars
Stars/forks activity
INFO1.8K stars, 103 forks; issue activity unavailable in current metadata
Recent maintenance
PASS5d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Run multimodal agents that operate desktop interfaces
Connect agents to hundreds of workflow automations
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
--- name: session-memory description: Mandatory memory persistence system across session resets using three markdown surfaces in .claude/cc10x/. Iron law - every workflow must load at start and update at end. allowed-tools: Read, Write, Edit, Bash, Grep, Glob graph: domains: [domain:software-engineering] skillAreas: [skill-area:agentic-loops, skill-area:orchestration-loop] workflows: [workflow:feature-development] topics: [topic:developer-experience] roles: [role:tech-lead, role:backend-engineer] 2. **patterns.md** -- Project conventions, architecture decisions, common gotchas, reusable solutions 3. **progress.md** -- Task completion tracking with verification evidence
---
## Iron Law
EVERY WORKFLOW MUST: 1. LOAD memory at START (and before key decisions) 2. UPDATE memory at END (and after learnings/decisions)
## Stable Edit Anchors
Safe section headers for Edit operations: - activeContext: `## Recent Changes`, `## Learnings`, `## References` - patterns: `## Common Gotchas`, `## Project SKILL_HINTS` - progress: `## Completed`, `## Verification`
## Read-Edit-Verify Pattern
1. Read file 2. Verify anchor exists 3. Edit with exact `old_string` 4. Read back to confirm
## Tool Rules
- Use `Write()` for NEW files (permission-free) - Use `Edit()` for EXISTING files (permission-free) - Never use `Write()` to overwrite existing files - Never compound commands (`mkdir && cat`)
## When to Use
- At the start of every CC10X workflow (load) - At the end of every CC10X workflow (update) - Before making key decisions (check patterns) - After discovering learnings or gotchas (persist)
## Agents Used
All CC10X agents use this skill. The cc10x-router manages load/update lifecycle.
Source provenance
Decision snapshot
1,759 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 session-memory, ready for a manual X post.
session-memory: Mandatory memory persistence system across session resets using three markdown surfaces in .c... 1.8K stars https://www.openagentskill.com/skills/a5c-ai-session-memory?ref=x
Listing + install path for session-memory: https://www.openagentskill.com/skills/a5c-ai-session-memory?ref=x Install: npx skills add a5c-ai/babysitter --skill session-memory
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 a5c-ai 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/a5c-ai-session-memory?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/a5c-ai-session-memory?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/a5c-ai-session-memory/audit)
[](https://www.openagentskill.com/skills/a5c-ai-session-memory?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)a5c-ai
@a5c-ai
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
37.0K Starsn8n
Connect agents to hundreds of workflow automations
194.1K StarsMoneyPrinterTurbo
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
88.5K StarsTasmota
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
24.7K StarsSandbox only
Install targets
Codex install prompt
Install the "session-memory" agent skill from https://github.com/a5c-ai/babysitter/tree/main/library/methodologies/cc10x/skills/session-memory. 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: Mandatory memory persistence system across session resets using three markdown surfaces in .claude/cc10x/. Iron law - every workflow must load at start and update at end. 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":"a5c-ai-session-memory","task":"Install session-memory","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
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add a5c-ai/babysitter --skill session-memory
Maintenance
fresh
5d since push
Risk
Safe to try
Quality score needs review
GitHub quality
1.8K
79/100 Quality · 81/100 Trust
Coverage tags
Review notes
Quality score needs review
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
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Safe to tryA 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
1.8K GitHub stars
Repo activity
1.8K stars, 103 forks
Maintenance
5d since push
License
MIT
Install
npx skills add a5c-ai/babysitter --skill session-memory
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 a5c-ai/babysitter --skill session-memoryDo not use when
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 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%20session-memory%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20session-memory%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/a5c-ai-session-memory/install
Agent should check
Copy prompt
Task: Use session-memory in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20session-memory%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/a5c-ai-session-memory/install
Install command: npx skills add a5c-ai/babysitter --skill session-memory
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/a5c-ai-session-memory/install
LLM text format
/api/skills/a5c-ai-session-memory/install?format=text
Find alternatives
/api/skills/search?q=session-memory&limit=3
Agent prompt
Use session-memory for this task. Review https://www.openagentskill.com/api/skills/a5c-ai-session-memory/install, then install with: npx skills add a5c-ai/babysitter --skill session-memoryRegistry 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/a5c-ai-session-memory
LLM text
/api/registry/manifest/a5c-ai-session-memory?format=text
Install alias
/api/registry/install/a5c-ai-session-memory
Recommend
/api/registry/recommend?task=Use%20session-memory%20in%20an%20agent%20workflow&limit=3
Agent fit
Workflow automation
Use-case tags
Platforms
Claude Code
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
Workflow automation
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
PASS1.8K GitHub stars
Stars/forks activity
INFO1.8K stars, 103 forks; issue activity unavailable in current metadata
Recent maintenance
PASS5d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Run multimodal agents that operate desktop interfaces
Connect agents to hundreds of workflow automations
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
--- name: session-memory description: Mandatory memory persistence system across session resets using three markdown surfaces in .claude/cc10x/. Iron law - every workflow must load at start and update at end. allowed-tools: Read, Write, Edit, Bash, Grep, Glob graph: domains: [domain:software-engineering] skillAreas: [skill-area:agentic-loops, skill-area:orchestration-loop] workflows: [workflow:feature-development] topics: [topic:developer-experience] roles: [role:tech-lead, role:backend-engineer] 2. **patterns.md** -- Project conventions, architecture decisions, common gotchas, reusable solutions 3. **progress.md** -- Task completion tracking with verification evidence
---
## Iron Law
EVERY WORKFLOW MUST: 1. LOAD memory at START (and before key decisions) 2. UPDATE memory at END (and after learnings/decisions)
## Stable Edit Anchors
Safe section headers for Edit operations: - activeContext: `## Recent Changes`, `## Learnings`, `## References` - patterns: `## Common Gotchas`, `## Project SKILL_HINTS` - progress: `## Completed`, `## Verification`
## Read-Edit-Verify Pattern
1. Read file 2. Verify anchor exists 3. Edit with exact `old_string` 4. Read back to confirm
## Tool Rules
- Use `Write()` for NEW files (permission-free) - Use `Edit()` for EXISTING files (permission-free) - Never use `Write()` to overwrite existing files - Never compound commands (`mkdir && cat`)
## When to Use
- At the start of every CC10X workflow (load) - At the end of every CC10X workflow (update) - Before making key decisions (check patterns) - After discovering learnings or gotchas (persist)
## Agents Used
All CC10X agents use this skill. The cc10x-router manages load/update lifecycle.
Source provenance
Decision snapshot
1,759 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 session-memory, ready for a manual X post.
session-memory: Mandatory memory persistence system across session resets using three markdown surfaces in .c... 1.8K stars https://www.openagentskill.com/skills/a5c-ai-session-memory?ref=x
Listing + install path for session-memory: https://www.openagentskill.com/skills/a5c-ai-session-memory?ref=x Install: npx skills add a5c-ai/babysitter --skill session-memory
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 a5c-ai 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/a5c-ai-session-memory?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/a5c-ai-session-memory?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/a5c-ai-session-memory/audit)
[](https://www.openagentskill.com/skills/a5c-ai-session-memory?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)a5c-ai
@a5c-ai
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
37.0K Starsn8n
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194.1K StarsMoneyPrinterTurbo
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88.5K StarsTasmota
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24.7K StarsSandbox only
Install targets
Codex install prompt
Install the "session-memory" agent skill from https://github.com/a5c-ai/babysitter/tree/main/library/methodologies/cc10x/skills/session-memory. 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: Mandatory memory persistence system across session resets using three markdown surfaces in .claude/cc10x/. Iron law - every workflow must load at start and update at end. 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":"a5c-ai-session-memory","task":"Install session-memory","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
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add a5c-ai/babysitter --skill session-memory
Maintenance
fresh
5d since push
Risk
Safe to try
Quality score needs review
GitHub quality
1.8K
79/100 Quality · 81/100 Trust
Coverage tags
Review notes
Quality score needs review
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
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Safe to tryA 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
1.8K GitHub stars
Repo activity
1.8K stars, 103 forks
Maintenance
5d since push
License
MIT
Install
npx skills add a5c-ai/babysitter --skill session-memory
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 a5c-ai/babysitter --skill session-memoryDo not use when
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 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%20session-memory%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20session-memory%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/a5c-ai-session-memory/install
Agent should check
Copy prompt
Task: Use session-memory in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20session-memory%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/a5c-ai-session-memory/install
Install command: npx skills add a5c-ai/babysitter --skill session-memory
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/a5c-ai-session-memory/install
LLM text format
/api/skills/a5c-ai-session-memory/install?format=text
Find alternatives
/api/skills/search?q=session-memory&limit=3
Agent prompt
Use session-memory for this task. Review https://www.openagentskill.com/api/skills/a5c-ai-session-memory/install, then install with: npx skills add a5c-ai/babysitter --skill session-memoryRegistry 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/a5c-ai-session-memory
LLM text
/api/registry/manifest/a5c-ai-session-memory?format=text
Install alias
/api/registry/install/a5c-ai-session-memory
Recommend
/api/registry/recommend?task=Use%20session-memory%20in%20an%20agent%20workflow&limit=3
Agent fit
Workflow automation
Use-case tags
Platforms
Claude Code
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
Workflow automation
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
PASS1.8K GitHub stars
Stars/forks activity
INFO1.8K stars, 103 forks; issue activity unavailable in current metadata
Recent maintenance
PASS5d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Run multimodal agents that operate desktop interfaces
Connect agents to hundreds of workflow automations
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
--- name: session-memory description: Mandatory memory persistence system across session resets using three markdown surfaces in .claude/cc10x/. Iron law - every workflow must load at start and update at end. allowed-tools: Read, Write, Edit, Bash, Grep, Glob graph: domains: [domain:software-engineering] skillAreas: [skill-area:agentic-loops, skill-area:orchestration-loop] workflows: [workflow:feature-development] topics: [topic:developer-experience] roles: [role:tech-lead, role:backend-engineer] 2. **patterns.md** -- Project conventions, architecture decisions, common gotchas, reusable solutions 3. **progress.md** -- Task completion tracking with verification evidence
---
## Iron Law
EVERY WORKFLOW MUST: 1. LOAD memory at START (and before key decisions) 2. UPDATE memory at END (and after learnings/decisions)
## Stable Edit Anchors
Safe section headers for Edit operations: - activeContext: `## Recent Changes`, `## Learnings`, `## References` - patterns: `## Common Gotchas`, `## Project SKILL_HINTS` - progress: `## Completed`, `## Verification`
## Read-Edit-Verify Pattern
1. Read file 2. Verify anchor exists 3. Edit with exact `old_string` 4. Read back to confirm
## Tool Rules
- Use `Write()` for NEW files (permission-free) - Use `Edit()` for EXISTING files (permission-free) - Never use `Write()` to overwrite existing files - Never compound commands (`mkdir && cat`)
## When to Use
- At the start of every CC10X workflow (load) - At the end of every CC10X workflow (update) - Before making key decisions (check patterns) - After discovering learnings or gotchas (persist)
## Agents Used
All CC10X agents use this skill. The cc10x-router manages load/update lifecycle.
Source provenance
Decision snapshot
1,759 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 session-memory, ready for a manual X post.
session-memory: Mandatory memory persistence system across session resets using three markdown surfaces in .c... 1.8K stars https://www.openagentskill.com/skills/a5c-ai-session-memory?ref=x
Listing + install path for session-memory: https://www.openagentskill.com/skills/a5c-ai-session-memory?ref=x Install: npx skills add a5c-ai/babysitter --skill session-memory
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 a5c-ai 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/a5c-ai-session-memory?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/a5c-ai-session-memory?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/a5c-ai-session-memory/audit)
[](https://www.openagentskill.com/skills/a5c-ai-session-memory?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)a5c-ai
@a5c-ai
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
37.0K Starsn8n
Connect agents to hundreds of workflow automations
194.1K StarsMoneyPrinterTurbo
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
88.5K StarsTasmota
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
24.7K StarsPermission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness