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 ihabkhaled/AI-Psychiatry --skill knowledge-maintainergit clone --depth 1 https://github.com/ihabkhaled/AI-PsychiatryWrote 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/ihabkhaled/ai-psychiatry/knowledge-maintainer)<a href="https://agentmods.dev/skills/ihabkhaled/ai-psychiatry/knowledge-maintainer"><img src="https://agentmods.dev/badge/skills/ihabkhaled/ai-psychiatry/knowledge-maintainer/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/ihabkhaled/ai-psychiatry/knowledge-maintainer"><img src="https://agentmods.dev/badge/skills/ihabkhaled/ai-psychiatry/knowledge-maintainer.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 | $0.00032 | $0.00199 |
| Opus 5 | $0.00016 | $0.00100 |
| Sonnet 5 | $0.00006 | $0.00040 |
| Haiku 4.5 | $0.00003 | $0.00020 |
Grade A, and why
knowledge-maintainer 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 9d 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.
What it actually says
Knowledge Maintainer
Core principle
Change the smallest authoritative source, regenerate dependents, validate references, and never synchronize prose copies manually.
Procedure
- Identify canonical and generated artifacts.
- Inspect dependencies and instruction precedence.
- Modify the smallest authoritative source.
- Regenerate indexes, manifests, and runtime mirrors.
- Validate JSON, schemas, links, IDs, conflicts, freshness, and cycles.
- Update only affected documentation and maps.
Required output
Canonical change, regenerated artifacts, validation proof, and resolved conflicts.
Limits
No parallel knowledge system; routers stay thin.
Common mistakes
Do not edit generated output against its generator or duplicate canonical rules across adapters.
Stop condition
Stop when dependents are current, references resolve, and validation passes.
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.
- 9d ago First seen · 37 lines · 32 tokens per session scan A 0954820bb441
knowledge-maintainer is a skill published in the GitHub repository ihabkhaled/AI-Psychiatry (3 stars, last pushed 25d ago), licensed MIT. It adds 32 tokens to every session and 199 once invoked, about $0.0002 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 2026-08-31.
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