Agent Knowledge

REVIEW · 68
Community indexed

Janet builds and maintains a portable LLM wiki in plain Markdown using the Open Knowledge Format (OKF). Run her directly, call her as a subagent, or add her skills to your coding agent.

Downloads0
Stars26
Version1.0.0
Quality75/100 · Strong
Trust68/100 · Sandbox only
Audit82/100 · Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Agent fit

Claude Code + OpenAI Agents + Cursor

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add stjbrown/agent-knowledge

Maintenance

fresh

4d since push

Risk

Needs review

Permission surface may require sandboxing

GitHub quality

26

75/100 Quality · 76/100 Trust

Coverage tags

CodingCoding agentsutilityagent-skillskill

Review notes

Permission surface may require sandboxing · Low GitHub adoption signal

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

Strong
75

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
68

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
82

A 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.

HTMLCodexClaude CodeCursorOpenAgentSkill CLI

Stars

26 GitHub stars

Repo activity

26 stars, 1 forks

Maintenance

4d since push

License

MIT

Install

npx skills add stjbrown/agent-knowledge

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
  • Permission surface needs review: shell or command execution, filesystem or document access
  • GitHub adoption: 26 GitHub stars

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.

Open JSON

Suited tasks

  • Document processing workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Read uploaded files

Suited agents

HTMLCodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Install decision

Command
npx skills add stjbrown/agent-knowledge
Policy
review
Human review
yes

Trust and risk

Trust
68/100
Audit
82/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add stjbrown/agent-knowledge

Do 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
  • Permission surface may require sandboxing

Agent safety v2

50/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Resolve via API

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.

medium

Database access

Skill may inspect schemas, query databases, or work with persistent stores.

  • High-risk permission hints: Shell or command execution
  • Permission surface may require sandboxing

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.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add stjbrown/agent-knowledge

Agent 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 text plan

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 Agent Knowledge in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Agent%20Knowledge%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/stjbrown-agent-knowledge/install
Install command: npx skills add stjbrown/agent-knowledge
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.

Open install API

Agent prompt

Use Agent Knowledge for this task. Review https://www.openagentskill.com/api/skills/stjbrown-agent-knowledge/install, then install with: npx skills add stjbrown/agent-knowledge

Registry 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.

Open manifest

Agent fit

76/100

Document processing

Platforms

HTML, Claude Code, OpenAI Agents, Cursor

Audit report

Needs review · 82/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Companion skill for Document processing

Shortlist this skill and compare it with close alternatives before production adoption.

76
Readiness
Shortlist
Stage

Role in stack

Companion skill

Primary fit

Document processing

Trust label

Strong shortlist

Install path

Command ready

Use when

  • Document processing workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 75/100 quality profile
  • 4 OpenAgentSkill engagement events

review first

  • Low GitHub adoption signal

Implementation path

  1. 1Install it in a sandbox agent and run one Document processing task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 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.

68
OpenAgentSkill Trust Score

GitHub adoption

CHECK

26 GitHub stars

Stars/forks activity

CHECK

26 stars, 1 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

4d since push

License clarity

PASS

MIT

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
  • Permission surface needs review: shell or command execution, filesystem or document access
  • GitHub adoption: 26 GitHub stars
  • Stars/forks activity: 26 stars, 1 forks; issue activity unavailable in current metadata
  • Permission surface: shell or command execution, filesystem or document access
  • 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

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

75
GitHub stars
26
Freshness
4d ago
Install ready
Yes
License
MIT
Review before install: Low GitHub adoption signal

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

# agent-knowledge

**Give your coding agent a knowledge base that gets better over time.**

`agent-knowledge` turns project documents, decisions, notes, and conversations into a portable Markdown wiki that your agent maintains for you. Ask a question and get a cited answer. Add a source and the agent integrates it with what the project already knows. Run a health check and it finds stale claims, contradictions, and orphaned pages before the wiki quietly rots.

Everything stays in your repository as plain Markdown + Git: readable without special tooling, diffable in code review, and portable across agents.

## Install

Via [skills.sh](https://skills.sh) for Claude Code, Cursor, Codex, and 20+ other agents:

```bash npx skills@latest add stjbrown/agent-knowledge ```

Or install it as a Claude Code plugin:

```text /plugin marketplace add stjbrown/agent-knowledge /plugin install agent-knowledge ```

## See it work

Start a knowledge base in any project:

```text /kb-init ```

Then use ordinary prompts:

```text Ingest this architecture decision: we chose Postgres because...

What do we know about authentication, and which sources support it?

What conflicts with our current deployment strategy? ```

The agent extracts durable knowledge, connects it to existing concepts, answers with citations, and files valuable new conclusions back into the bundle. Two explicit commands handle maintenance:

```text /kb-lint # find broken links, stale claims, contradictions, and gaps /kb-visualize # explore the bundle as an interactive graph ```

![Interactive knowledge graph showing concepts, implementations, operations, references, and OKF spec sections](./assets/knowledge-graph.png)

The [`knowledge/`](./knowledge/) directory is a complete working example. It documents this project using the same format and skills the project provides.

## Why this exists

Most agent "memory" is either retrieval over raw documents or a pile of notes that nobody maintains. The first repeatedly

Platform compatibility

htmlFULL

Technical details

Version
1.0.0
License
MIT
Last updated
Jul 28, 2026
Published
Jul 28, 2026

Frameworks & tools

HTML

Decision snapshot

Companion skill

76
Ready
Shortlist
Stage

recent repository activity

Audit

Install review

Install and adoption review

82
Needs review
Security
81/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
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

X

Scenario-led draft for Agent Knowledge, ready for a manual X post.

Curator note
Agent Knowledge: Janet builds and maintains a portable LLM wiki in plain Markdown using the Open Knowledge For...

26 stars

https://www.openagentskill.com/skills/stjbrown-agent-knowledge?ref=x
Open X draft
Optional reply with install command
Listing + install path for Agent Knowledge:
https://www.openagentskill.com/skills/stjbrown-agent-knowledge?ref=x

Install: npx skills add stjbrown/agent-knowledge

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
stjbrown
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 skill

Owner claim

Claim this skill listing

This Community indexed listing is attributed to stjbrown 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.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/stjbrown-agent-knowledge?metric=listed&label=Listed)](https://www.openagentskill.com/skills/stjbrown-agent-knowledge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/stjbrown-agent-knowledge?metric=trust&label=Trust)](https://www.openagentskill.com/skills/stjbrown-agent-knowledge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/stjbrown-agent-knowledge?metric=audit&label=Audit)](https://www.openagentskill.com/skills/stjbrown-agent-knowledge/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/stjbrown-agent-knowledge?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/stjbrown-agent-knowledge)

Author

S

stjbrown

@stjbrown

Health signals

GitHub stars
26
Quality score
47/100
Last GitHub push
Jul 28, 2026
Framework hints
1
OpenAgentSkill views
2
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

68
  • GitHub adoption26 GitHub starsCHECK
  • Stars/forks activity26 stars, 1 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance4d since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskcommand execution surface, database surfaceINFO