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 melodic-software/claude-code-plugins --skill audit-noisegit clone --depth 1 https://github.com/melodic-software/claude-code-pluginsWrote 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/melodic-software/claude-code-plugins/audit-noise)<a href="https://agentmods.dev/skills/melodic-software/claude-code-plugins/audit-noise"><img src="https://agentmods.dev/badge/skills/melodic-software/claude-code-plugins/audit-noise/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/melodic-software/claude-code-plugins/audit-noise"><img src="https://agentmods.dev/badge/skills/melodic-software/claude-code-plugins/audit-noise.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 | $0.00112 | $0.06295 |
| Opus 5.5 | $0.00045 | $0.02518 |
| Sonnet 5.5 | $0.00022 | $0.01259 |
| Haiku 4.5 | $0.00011 | $0.00630 |
Grade D, and why
audit-noise scanned grade D with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
- **Opt-out markers respected.** A well-formed HTML comment line `<!-- markdown-discipline-ignore -->` covers the next paragraph, through the next blank line or heading. `<!-- markdown-discipline-ignore-line -->` covers Recursive force deletemediumDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
`token`, `password`, `api key`, `force-push`, `--force`, `rm -rf`, `destructive`, `irreversible`, Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
How it starts
The opening of the file, as written. The whole thing — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository context. Gather first
Collect these with individual Bash calls, one command per call, never combined into a single invocation:
- Current branch,
git branch --show-current - Uncommitted .md files (empty = none matched or the probe returned nothing),
git status --porcelain | grep -E '\.md"?$' | head -10
The pipe is the bound and belongs in the command. A read-time cap ("read only the first 10 entries") bounds nothing: the Bash tool returns the command's complete output into context before there is anything to decide about.
Treat a failure (not a repository, git unavailable) as an unknown value and carry on. Keep these as
separate body Bash calls rather than pre-compute lines: the harness runs a skill's whole pre-compute
block as one shell invocation, and a worktree-isolated session refuses a compound command that
contains git. The dated record for that composition claim is the source-control plugin's
worktree/reference/gather-block.md,
"The pre-compute block runs as one shell invocation".
Pre-computed context
Noise findings (sample): !${CLAUDE_SKILL_DIR}/scripts/detect.sh 2>/dev/null | grep -E '^(status:|Summary total:|Finding shape:)' | head -20 || echo "none"
Purpose
Tracked markdown accumulates nine NOISE shapes distinct from FLAVOR, owned by the sibling /docs-hygiene:compress. The surfaces include rules, skill bodies, instruction files (CLAUDE.md, AGENTS.md), docs/, and READMEs. Each shape has to be kept current as the repository changes, and every reader pays to read past it in every file that carries it. This skill is a read-only classifier: it surfaces candidates with treatment guidance; the author hand-applies every edit.
Three of the nine, plan-reference, conversational-antecedent, and ticket-pr-residue, carry the same names the code-side sibling /code-tidying:audit-comment-residue uses, because they are the same authoring failure landing in a different file type. Ownership splits by file type, not by shape: markdown is this skill's, everything else is the sibling's, and neither scans the other's files. The patterns are not shared code. The sibling classifies only the extracted comment portion of a line; this skill classifies whole prose, where the same words carry meaning far more often, so its patterns are tightened accordingly and several of the sibling's cues are deliberately not carried over.
What ships with it
16 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.
- context/persist-findings.md 7.8 KB
- evals/evals.json 19 KB
- evals/fixtures/legit-optouts.md 2.4 KB
- evals/fixtures/negation-shapes.md 802 B
- evals/fixtures/negation-trigger-fence.md 607 B
- evals/fixtures/noisy-rule-snippet.md 898 B
- evals/fixtures/origin-notes.md 648 B
- evals/fixtures/recall-paraphrases.md 673 B
- scripts/detect.sh 15 KB runs code
- scripts/detect.test.sh 73 KB runs code
- scripts/emit-findings.sh 19 KB runs code
- scripts/emit-findings.test.sh 10 KB runs code
- scripts/lib/noise-shapes.sh 36 KB runs code
- scripts/lib/opt-value.sh 576 B runs code
- scripts/lib/parse-concern-value.sh 5.0 KB runs code
- scripts/lib/yaml-subset.awk 10 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.
- 8d ago Changed 66c4d2ae2f23
- 12d ago Changed 5417e25b885a
- 18d ago Changed · -1 lines cc663dc2cb80
- 21d ago Changed · +3 lines · -82 tokens per session 442ea573b751
- 22d ago Changed 83686030089b
- 27d ago Changed e1494d2d8bf0
- 1mo ago Changed ca69b75d6ec0
- 1mo ago Changed · -30 tokens per session 02cd3b4ea5e1
- 1mo ago Changed 4efe924010d0
- 1mo ago First seen · 239 lines · 224 tokens per session scan D e1fcf35d7ae1
audit-noise is a skill published in the GitHub repository melodic-software/claude-code-plugins (26 stars, last pushed today), licensed MIT. It adds 112 tokens to every session and 6,295 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it D with 2 findings (hidden instructions, recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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