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 wardawgmalvicious/agent-config --skill drift-auditgit clone --depth 1 https://github.com/wardawgmalvicious/agent-configWrote 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/wardawgmalvicious/agent-config/drift-audit)<a href="https://agentmods.dev/skills/wardawgmalvicious/agent-config/drift-audit"><img src="https://agentmods.dev/badge/skills/wardawgmalvicious/agent-config/drift-audit/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/wardawgmalvicious/agent-config/drift-audit"><img src="https://agentmods.dev/badge/skills/wardawgmalvicious/agent-config/drift-audit.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 | $0.00218 | $0.05909 |
| Opus 5 | $0.00109 | $0.02955 |
| Sonnet 5 | $0.00044 | $0.01182 |
| Haiku 4.5 | $0.00022 | $0.00591 |
Grade A, and why
drift-audit scanned grade A with 1 finding 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 today.
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.
Reads agent configuration directorieslowAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
- **Harness match** — `Read ~/.claude/settings.json` for the hook event wiring, permissions, and env keys currently in use; `Glob ~/.claude/hooks/*` and `Grep` them for event names and hook JSON fields; `Grep` skill / su 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 — 217 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Drift audit
Audit the source markdown of registered upstream docs pages against the local Claude config — skills, rules, CLAUDE.md, MCP templates — and emit a structured findings report. Inline execution; the report stays in the conversation so the user can iterate on follow-up actions.
Read-only — never modify any artifact this turn. Rewriting a skill / rule / CLAUDE.md / MCP template based on the findings is a separate, per-artifact task initiated after this audit completes.
1. Sources
The audit input is a registry, not a fixed pair of pages. Read references/sources.md at the start of every run and drive the pipeline from it. Never hardcode a repo, path, section heading, or doc host into the run — if something needed for a source isn't in its registry entry, the entry is incomplete and that is the finding.
Each entry carries an id (what --sources matches), its GitHub repo / branch / path (plus files, when that path is a directory) or plain url, a shape (table / prose / changelog) that drives extraction, sections for the WebFetch fallback, a drill block (host, mechanism, anchor-strip patterns) for Phase 3, and the artifacts classes it can produce findings against. The registry's Shape contracts section defines what "an entry" means per shape; its Adding a source checklist is the procedure for widening the audit.
As registered today: fabric and powerbi (table), vscode-agent (prose), and claude-code (changelog). These are public and fetchable anonymously with two exceptions. claude-code is a ~590 KB file with no sections list, so in practice only the github-mcp path can read it. And powerbi's upstream repo was taken down — 404 at the API, web and raw endpoints as of 2026-09-07 — so that source fetches by the strategy written into its own registry entry rather than from a repo field.
2. Argument parsing
The user invokes with a prior reference — slash form /drift-audit <ref>, natural language ("audit since SHA abc1234", "audit since 2026-03-15"), or no argument. The reference is applied to every audited source independently.
What ships with it
1 file 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.
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.
- today Changed · +9 lines d593dd326446
- 5d ago Changed · +2 lines 53fe0e6c7ebd
- 9d ago First seen · 206 lines · 218 tokens per session scan A 8a27b1491697
drift-audit is a skill published in the GitHub repository wardawgmalvicious/agent-config (1 stars, last pushed today), licensed MIT. It adds 218 tokens to every session and 5,909 once invoked, about $0.0011 per session on Opus 5. A static security scan graded it A with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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