Borrowing it
Nothing to install: this file belongs to liuyingxuvka/Khaos-Brain. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/liuyingxuvka/Khaos-Brain/main/.agents/skills/organization-review/SKILL.mdgit clone --depth 1 https://github.com/liuyingxuvka/Khaos-BrainWrote 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/liuyingxuvka/khaos-brain/organization-review)<a href="https://agentmods.dev/skills/liuyingxuvka/khaos-brain/organization-review"><img src="https://agentmods.dev/badge/skills/liuyingxuvka/khaos-brain/organization-review/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/liuyingxuvka/khaos-brain/organization-review"><img src="https://agentmods.dev/badge/skills/liuyingxuvka/khaos-brain/organization-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00063 | $0.00733 |
| Opus 5 | $0.00032 | $0.00367 |
| Sonnet 5 | $0.00013 | $0.00147 |
| Haiku 4.5 | $0.00006 | $0.00073 |
Grade A, and why
organization-review 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Organization Review
Use this Skill when reviewing organization KB changes or running full organization maintenance automation. It is guidance for judgment, not a hard apply gate for ordinary organization Sleep maintenance.
Review Contract
Treat the review unit as a bundle, not a standalone file:
- import candidate,
maincard change, or Skill-linked card bundle; - declared Skill dependency or Skill registry change;
- task evidence and provenance;
- privacy and sharing policy impact;
- GitHub merge path and rollback story.
Do not approve a Skill only because it exists. A Skill becomes organization knowledge only when cards explain when it is useful, what outcome it predicts, what hard-stop behavior applies when its required Skill is unavailable, and what evidence supports it.
Treat the organization KB as a shared exchange layer, not as a central truth
layer. Organization main cards may be maintained with the same
editorial posture as local Sleep: keep, reject, watch, merge, split, rewrite,
promote, demote, deprecate, or cross-link when evidence supports the decision.
Do not reject a card-content change merely because the target is already in main or already trusted;
instead review the evidence, privacy boundary, usefulness, and rollback story.
Required Checks
- Validate the organization repository manifest and expected paths.
- Confirm changed paths match the intended merge lane.
- Reject raw private preferences, credentials, tokens, local absolute paths, hardware identifiers, or user-specific interaction memories.
- For cards, check that scenario, action, prediction, confidence, route, and operational use are organization-reusable.
- For Skill dependencies, check that each dependency is required, recommended, or optional and has evidence from one or more cards.
- For card-bound Skill bundles, require
bundle_id,content_hash,version_time,original_author, read-only import behavior, andupdate_policy: original_author_only. - For same-
bundle_idupdates, approve only original-author updates and useversion_timeto select the latest approved version; non-author changes must fork to a newbundle_id. - For approved Skills, require a pinned version or version time and
sha256:content hash. - Do not auto-install or recommend auto-install for
candidate,rejected, unknown, or unpinned Skills. - Treat
maincard content maintenance as in scope for organization Sleep when evidence supports it. Keep privacy, registry, policy, organization-review Skill changes, and executable Skill changes under stricter review. - Record rejection reasons when a bundle is weak, unsafe, private, too local, duplicated, or missing evidence.
- Keep the output reviewable: summarize accepted changes, rejected changes, unresolved risks, checks run, and the exact GitHub branch or PR path.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 70 lines · 63 tokens per session scan A f7065cc550b2
organization-review is a skill published in the GitHub repository liuyingxuvka/Khaos-Brain (37 stars, last pushed 1mo ago), licensed MIT. It adds 63 tokens to every session and 733 once invoked, about $0.0003 per session on Opus 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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