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 po4yka/llm-wiki-skills --skill llm-wiki-provenancegit clone --depth 1 https://github.com/po4yka/llm-wiki-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/po4yka/llm-wiki-skills/llm-wiki-provenance)<a href="https://agentmods.dev/skills/po4yka/llm-wiki-skills/llm-wiki-provenance"><img src="https://agentmods.dev/badge/skills/po4yka/llm-wiki-skills/llm-wiki-provenance/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/po4yka/llm-wiki-skills/llm-wiki-provenance"><img src="https://agentmods.dev/badge/skills/po4yka/llm-wiki-skills/llm-wiki-provenance.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 | $0.00065 | $0.00722 |
| Opus 5.5 | $0.00026 | $0.00289 |
| Sonnet 5.5 | $0.00013 | $0.00144 |
| Haiku 4.5 | $0.00006 | $0.00072 |
Grade A, and why
llm-wiki-provenance 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LLM-Wiki Provenance
Goal
Make important wiki claims traceable to raw sources or clearly mark them as unsupported, inferred, or ambiguous.
When to use
- A page has claims with no visible link back to
raw/sources or source pages. - A generated summary cites another generated summary instead of an original source.
- Support labels (extracted, inferred, synthesis, unsupported) look wrong or are missing.
- The user asks for a provenance gap report before assigning stable IDs.
- Current-state or status claims need re-verified evidence rather than an assumed link.
- Do not use this skill to insert stable IDs; hand that off to
llm-wiki-claim-anchors.
Inputs
- Target pages or folders.
raw/andwiki/locations.- Existing source pages, hashes and frontmatter if present.
- Desired mode: report-only or patch.
Procedure
1. Select provenance level
Use the smallest useful level:
| Level | Meaning |
|---|---|
| source-level | Page links to the source page or raw source. |
| claim-level | Individual claims link to supporting source sections or anchors. |
| audit-ready | Claims include source path, hash, date, model, confidence and review state. |
2. Extract claims
For each target page, identify factual claims, recommendations, current-state statements and synthesis claims.
Classify support:
extracted | inferred | ambiguous | synthesis | unsupported | conflicting
Use extracted for claims directly stated in inspected sources. Use synthesis only for editorial conclusions drawn across sources; keep the source links visible.
3. Locate evidence
Search source pages and raw sources. Do not invent evidence. If evidence is not found, mark a gap instead of rewriting the claim.
4. Produce provenance patches
In patch mode, add backlinks near claims using the vault's preferred style. Examples:
- Claim text. Source: [[sources/source-title#section]]
or frontmatter:
source_paths:
- raw/sources/example.md
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 · 112 lines · 65 tokens per session scan A 190b2ea0c64a
llm-wiki-provenance is a skill published in the GitHub repository po4yka/llm-wiki-skills (4 stars, last pushed 2d ago), licensed MIT. It adds 65 tokens to every session and 722 once invoked, about $0.0003 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 2026-08-31.
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