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 paruff/uFawkesAI --skill ufawkes-knowledgegit clone --depth 1 https://github.com/paruff/uFawkesAIWrote 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/paruff/ufawkesai/ufawkes-knowledge)<a href="https://agentmods.dev/skills/paruff/ufawkesai/ufawkes-knowledge"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/ufawkes-knowledge/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/paruff/ufawkesai/ufawkes-knowledge"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/ufawkes-knowledge.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 | $0.00055 | $0.00520 |
| Opus 5.5 | $0.00022 | $0.00208 |
| Sonnet 5.5 | $0.00011 | $0.00104 |
| Haiku 4.5 | $0.00006 | $0.00052 |
Grade A, and why
ufawkes-knowledge 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 21d 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
uFawkesAI Knowledge (QMD)
Overview
This repo has a project-local QMD index (.qmd/). Run every qmd command from the repo root so the project index is picked up. Search for leads, then retrieve full documents before answering — never answer from snippets alone.
Collections
| Collection | Scope |
|---|---|
uFawkesAI-.agents |
.agents/**/*.md — agents, skills, rules, workflows, registry |
uFawkesAI-docs |
docs/**/*.md |
Not indexed: root docs (AGENTS.md, README.md, …). Symlinked harness mounts (.claude/skills, .opencode/skills) resolve into .agents/ and are already covered by uFawkesAI-.agents.
Query modes
| Mode | Time | Use for |
|---|---|---|
qmd search "..." -n 5 |
<1s | Default. BM25 keyword search, no LLM |
qmd vsearch "..." -n 5 |
~15s | Semantic / paraphrased questions |
qmd query "..." --no-rerank -n 5 |
~80s | Hybrid last resort (CPU expansion is slow) |
Known issue: plain qmd query (rerank enabled) stalls indefinitely on this machine — always pass --no-rerank.
Typical loop
qmd search "cross-validation pairwise rules" -n 5 # leads: #docid + snippet
qmd get "#abc123" # full doc (line-numbered)
qmd multi-get "#abc123,#def456" --format md # batch fetch
qmd status # health + pending embeddings
After editing indexed docs
qmd update && qmd embed # re-embeds all collections; CPU full pass ≈ 8 min
# scope one collection: qmd embed -c uFawkesAI-docs
Deep help: qmd skills get qmd --full.
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.
- 21d ago First seen · 48 lines · 55 tokens per session scan A 9f37c6dbc627
ufawkes-knowledge is a skill published in the GitHub repository paruff/uFawkesAI (2 stars, last pushed yesterday), licensed MIT. It adds 55 tokens to every session and 520 once invoked, about $0.0002 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 2026-09-30.
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