OpenKnowledge is a markdown editor and local knowledge-base application for writing wikis, notes, specifications, and reports. People use it through desktop, web, or command-line interfaces to edit documents, search and link knowledge, and work with AI coding agents. The catalogue entries provide skills and instructions for using its knowledge-management and agent integrations.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add inkeep/open-knowledge --skill researchgit clone --depth 1 https://github.com/inkeep/open-knowledgeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/inkeep/open-knowledge/research)<a href="https://agentmods.dev/skills/inkeep/open-knowledge/research"><img src="https://agentmods.dev/badge/skills/inkeep/open-knowledge/research/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/inkeep/open-knowledge/research"><img src="https://agentmods.dev/badge/skills/inkeep/open-knowledge/research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 34 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00136 | $0.05013 |
| Opus 5.5 | $0.00054 | $0.02005 |
| Sonnet 5.5 | $0.00027 | $0.01003 |
| Haiku 4.5 | $0.00014 | $0.00501 |
Grade A, and why
research-with-sources scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- If a fetch returns an obvious *summary* instead of the raw bytes (some LLM-backed fetch tools do this), note it and try a raw alternative (`curl -sL <url>`, or ask the user to paste). The source is not reproduced here
Licensed GPL-3.0
The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago Changed acdb87ed61a8
- 1mo ago First seen · 381 lines · 136 tokens per session scan A 4161b1bf2df6
research-with-sources is a skill published in the GitHub repository inkeep/open-knowledge (4,635 stars, last pushed today), licensed GPL-3.0. It adds 136 tokens to every session and 5,013 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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