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 record-a-decisiongit 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/record-a-decision)<a href="https://agentmods.dev/skills/inkeep/open-knowledge/record-a-decision"><img src="https://agentmods.dev/badge/skills/inkeep/open-knowledge/record-a-decision/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/record-a-decision"><img src="https://agentmods.dev/badge/skills/inkeep/open-knowledge/record-a-decision.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
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 →
- high Anti-Refusal · line 188 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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 | $0.00175 | $0.03268 |
| Opus 5.5 | $0.00070 | $0.01307 |
| Sonnet 5.5 | $0.00035 | $0.00654 |
| Haiku 4.5 | $0.00017 | $0.00327 |
Grade A, and why
record-a-decision scanned grade A with 0 findings 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
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 c731a509217e
- 1mo ago First seen · 189 lines · 175 tokens per session scan A 4ac8ceadfee7
record-a-decision is a skill published in the GitHub repository inkeep/open-knowledge (4,635 stars, last pushed today), licensed GPL-3.0. It adds 175 tokens to every session and 3,268 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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