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 patrick-fu/awesome-skills --skill llm-wiki-capturegit clone --depth 1 https://github.com/patrick-fu/awesome-skillsWrote 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/patrick-fu/awesome-skills/llm-wiki-capture)<a href="https://agentmods.dev/skills/patrick-fu/awesome-skills/llm-wiki-capture"><img src="https://agentmods.dev/badge/skills/patrick-fu/awesome-skills/llm-wiki-capture/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/patrick-fu/awesome-skills/llm-wiki-capture"><img src="https://agentmods.dev/badge/skills/patrick-fu/awesome-skills/llm-wiki-capture.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00022 | $0.00642 |
| Opus 5.5 | $0.00009 | $0.00257 |
| Sonnet 5.5 | $0.00004 | $0.00128 |
| Haiku 4.5 | $0.00002 | $0.00064 |
Grade A, and why
llm-wiki-capture 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 1mo 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LLM Wiki Capture
Route an explicit user request into the right LLM Wiki workflow. Keep this file as the thin router; load only the reference for the selected branch.
1. Resolve Intent
Choose the business branch from the user's words, not merely from the presence of a URL or repository:
- Session Capture: review or persist reusable knowledge learned in the current or identified historical session.
- Source Ingest: supplied external material is the object of an explicit ingest request (for example "入库", "炼化", or "沉淀这些资料") or a review of whether and how it should enter the Wiki.
- Full Integration: the user explicitly asks for a whole-Wiki audit, reorganization, or synthesis pass.
- Bootstrap: the user explicitly asks to create or initialize a new Wiki.
review-only is an orthogonal mutation stance, not a fifth business branch. It
can apply to Session Capture, Source Ingest, Full Integration, or Bootstrap.
A URL can be discussion context rather than an ingest target. "评估这篇材料是否 值得入库" selects Source Ingest with review-only stance; "参考这篇材料讨论另一 个问题" keeps it as task context. A bare URL remains ambiguous. If the intended branch or mutation stance is not fully clear, ask before acting.
2. Resolve The Wiki Target
Read references/configuration-guide.md
when the Wiki path, repository, authority, or write policy is not already
explicit in the current request.
Never enter Bootstrap merely because a Wiki was not found. Ask whether the user already has one and where it lives. Enter Bootstrap only after the user explicitly asks to create or initialize one.
3. Load The Selected Branch
Read the selected reference completely before taking branch actions:
| Branch | Load |
|---|---|
| Session Capture | references/session-capture.md |
| Source Ingest | references/source-ingest.md and references/provenance-contract.md |
| Full Integration | references/full-integration.md and references/provenance-contract.md |
| Bootstrap | references/bootstrap.md |
What ships with it
11 files 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.
- agents/openai.yaml 282 B
- LICENSE 1.0 KB
- README.md 4.4 KB
- README.zh-CN.md 4.2 KB
- references/bootstrap.md 3.9 KB
- references/configuration-guide.md 2.9 KB
- references/full-integration.md 3.1 KB
- references/integration-contract.md 3.2 KB
- references/provenance-contract.md 1.8 KB
- references/session-capture.md 6.3 KB
- references/source-ingest.md 2.9 KB
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.
- 1mo ago First seen · 66 lines · 22 tokens per session scan A ae9d23c531f9
llm-wiki-capture is a skill published in the GitHub repository patrick-fu/awesome-skills (69 stars, last pushed 4d ago), licensed MIT. It adds 22 tokens to every session and 642 once invoked, about $0.0001 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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