mneme
Architectural governance for this project. Use this skill when the user asks about project decisions, architectural constraints, or wants to enforce / record / review decisions. Also use whenever Claude Code is about to make a non-trivial edit and the project has a `.mneme/` dire
Supply asset profile
Coding and developer agents
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 MnemeHQ/mneme --skill mneme
Maintenance
fresh
1d since push
Risk
Needs review
Low GitHub adoption signal
GitHub quality
17
59/100 Quality · 73/100 Trust
Coverage tags
Review notes
Low GitHub adoption signal · Quality score needs review
Agent adoption scorecard
Trust, audit, and install readiness at a glance
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
PromisingUseful candidate, but compare it with alternatives before adopting.
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
Human review before install
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
17 GitHub stars
Repo activity
17 stars, 2 forks
Maintenance
1d since push
License
MIT
Install
npx skills add MnemeHQ/mneme --skill mneme
Install safety
standard package or runtime install path
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
Review before production
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 17 GitHub stars
- Stars/forks activity: 17 stars, 2 forks; issue activity unavailable in current metadata
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
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
- Coding agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Inspect source files
Suited agents
Install decision
- Command
- npx skills add MnemeHQ/mneme --skill mneme
- Policy
- block
- Human review
- yes
Trust and risk
- Trust
- 65/100
- Audit
- 76/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add MnemeHQ/mneme --skill mnemeDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- High-risk permission hints: Shell or command execution, Secrets or environment access
- Quality score needs review
Alternative
Code Review
168.6K Stars
npx skills add mattpocock/skills --skill code-review
Alternative
Grill With Docs
164.7K Stars
npx skills add mattpocock/skills --skill grill-with-docs
Alternative
To Spec
164.7K Stars
npx skills add mattpocock/skills --skill to-spec
Alternative
To Tickets
176.7K Stars
npx skills add mattpocock/skills --skill to-tickets
Agent safety v2
32/100 · Avoid automatic install
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Shell or command execution
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Secrets or environment access
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
- High-risk permission hints: Shell or command execution, Secrets or environment access
- Low GitHub adoption signal
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install mnemehq-mnemeAgent resolve plan
Let an agent verify fit before installing.
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%20mneme%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20mneme%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/mnemehq-mneme/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use mneme in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20mneme%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/mnemehq-mneme/install
Install command: npx skills add MnemeHQ/mneme --skill mneme
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/mnemehq-mneme/install
LLM text format
/api/skills/mnemehq-mneme/install?format=text
Find alternatives
/api/skills/search?q=mneme&limit=3
Agent prompt
Use mneme for this task. Review https://www.openagentskill.com/api/skills/mnemehq-mneme/install, then install with: npx skills add MnemeHQ/mneme --skill mnemeRegistry metadata
Agent-readable profile for automatic skill selection.
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/mnemehq-mneme
LLM text
/api/registry/manifest/mnemehq-mneme?format=text
Install alias
/api/registry/install/mnemehq-mneme
Recommend
/api/registry/recommend?task=Use%20mneme%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Claude Code
Audit report
Needs review · 76/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for Coding agents
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Coding agents
Trust label
Prototype first
Install path
Command ready
Use when
- Coding agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 59/100 quality profile
- 1 OpenAgentSkill engagement events
review first
- Low GitHub adoption signal
Implementation path
- 1Install it in a sandbox agent and run one Coding agents task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Sandbox only
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
FIX17 GitHub stars
Stars/forks activity
FIX17 stars, 2 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1d since push
License clarity
PASSMIT
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 17 GitHub stars
- Stars/forks activity: 17 stars, 2 forks; issue activity unavailable in current metadata
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Use this skill in these scenarios
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Automate repeated work
Workflow automation
I need my agent to automate a repeated workflow across tools and files.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Workflow fit
Add it to a complete workflow
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Ingest, retrieve, and cite
RAG knowledge base
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Compare before you install
Similar skills that may fit this task.
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
Grill With Docs
A relentless interview that pressure-tests a plan against the codebase, sharpens domain language, and updates CONTEXT.md and ADRs when decisions become durable.
To Spec
Turn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.
To Tickets
Break a plan, spec, or conversation into independently actionable tracer-bullet tickets with explicit blocking relationships.
Overview
--- name: mneme description: | Architectural governance for this project. Use this skill when the user asks about project decisions, architectural constraints, or wants to enforce / record / review decisions. Also use whenever Claude Code is about to make a non-trivial edit and the project has a `.mneme/` directory — check relevant decisions first. ---
# Mneme — project memory & governance
This project uses Mneme to enforce architectural decisions.
## When this skill activates
- User mentions "ADR", "decision", "constraint", "anti-pattern", "architecture". - A `.mneme/project_memory.json` file exists in the repo. - About to make a non-trivial edit in an area that may be governed by recorded decisions.
## How to use it
1. **Before non-trivial edits** — run `/mneme-context` with a descriptive task phrase (e.g. "storage layer changes", "auth middleware refactor"). Use domain language, not just the file name — retrieval is keyword-based and the query must overlap with decision scope fields to surface relevant decisions.
2. **To gate a draft** — run `/mneme-check` against the proposed content, again with a descriptive `--query`.
3. **To record a new decision** — run `/mneme-record`. When choosing `scope` keywords, pick terms that will appear in file names or task descriptions where this decision applies, so the hook can retrieve it automatically.
4. **To audit pending changes** — run `/mneme-review`.
## Hook enforcement
A `PreToolUse` hook (`mneme-hook`) runs automatically on Edit / Write / MultiEdit. It reconstructs the full post-edit file content, then calls `mneme check` with the query `"edit to <file_path>"`. Decisions whose scope or text share tokens with the file name are retrieved and checked.
**Retrieval caveat:** The automatic hook query is derived from the file path, so decisions with scope keywords that don't appear in file names may not be retrieved automatically. Use `/mneme-context` before large edits to confirm coverage.
If the proposed change violates a decision in strict mode, Claude Code is blocked and the violated decision id is surfaced in the error.
To switch to warn-only mode: `export MNEME_HOOK_MODE=warn`
## Related
- Project memory: `.mneme/project_memory.json` - CLI reference: `mneme --help` - Integration docs: `integrations/claude-code/README.md`
Technical details
- Version
- 1.0.0
- License
- MIT
- Last updated
- Aug 21, 2026
- Published
- Aug 21, 2026
Decision snapshot
Fallback candidate
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 81/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
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
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for mneme, ready for a manual X post.
A practical pick for the next repo task: mneme: Architectural governance for this project. Use this skill when the user asks about project decisions, architectural constra... 17 stars https://www.openagentskill.com/skills/mnemehq-mneme?ref=x
Optional reply with install command
Listing + install path for mneme: https://www.openagentskill.com/skills/mnemehq-mneme?ref=x Install: npx skills add MnemeHQ/mneme --skill mneme
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- MnemeHQ
- Source
- MnemeHQ/mneme
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Registry indexed listing is attributed to MnemeHQ 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
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/mnemehq-mneme)
[](https://www.openagentskill.com/skills/mnemehq-mneme)
[](https://www.openagentskill.com/skills/mnemehq-mneme/audit)
[](https://www.openagentskill.com/skills/mnemehq-mneme)Author
MnemeHQ
@mnemehq
Tags
Platform fit
Health signals
- GitHub stars
- 17
- Quality score
- 32/100
- Last GitHub push
- Aug 21, 2026
- Framework hints
- Unknown
- OpenAgentSkill views
- 1
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Sandbox only
- GitHub adoption17 GitHub starsFIX
- Stars/forks activity17 stars, 2 forks; issue activity unavailable in current metadataFIX
- Recent maintenance1d since pushPASS
- License clarityMITPASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskcommand execution surfaceINFO
Related skills
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
168.6K StarsGrill With Docs
A relentless interview that pressure-tests a plan against the codebase, sharpens domain language, and updates CONTEXT.md and ADRs when decisions become durable.
164.7K StarsTo Spec
Turn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.
164.7K StarsTo Tickets
Break a plan, spec, or conversation into independently actionable tracer-bullet tickets with explicit blocking relationships.
176.7K Stars