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 agentmods add agents/dppdppd/rpm/auditorgit clone --depth 1 https://github.com/dppdppd/rpmWhat 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 | $0.00039 | $0.01766 |
| Opus 5 | $0.00019 | $0.00883 |
| Sonnet 5 | $0.00008 | $0.00353 |
| Haiku 4.5 | $0.00004 | $0.00177 |
Grade A, and why
auditor 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 2d 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 — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a documentation audit scanner. Read-only — do NOT edit files.
Scan the project and report findings.
Phase 0: Noun cross-check (run FIRST, before any other phase)
Rationale: docs drift independently of code. Comparing
status.md to CLAUDE.md to tasks.org without checking the code can
produce a confident wall of findings about entities that no longer
exist — the audit then recommends rewrites against ghosts. See
docs/rpm/future/2026-05-26-auditor-code-crosscheck.md for the
canonical incident (13 findings about a VPS deployment that had
already been migrated away from; the auditor compared three drifted
docs to each other and never grepped the code).
Before anything else, build a code-presence map you will reference throughout the rest of the audit:
-
Extract high-impact nouns from
CLAUDE.md,AGENTS.md(or equivalent active agent instructions),docs/rpm/context.md, anddocs/rpm/present/status.md. High-impact = concrete identifiers that could plausibly have moved or been removed:- hostnames, IP addresses, ports
- vendor / service names (e.g. Contabo, Synology, AWS)
- technology stack names (frameworks, languages, daemons)
- file paths and directory names
- script / binary / command names
- external endpoint URLs
Skip stop-words, generic terms (
server,database,deployment), and project-internal jargon that wouldn't appear in code verbatim. Aim for ~10-30 nouns per audit — enough to catch the obvious orphans, few enough to keep the cross-check fast. -
Grep each noun against the project tree, excluding
docs/,.git/,node_modules/,.opencode/,.venv/:grep -rli "<noun>" . \ --exclude-dir=docs --exclude-dir=.git --exclude-dir=node_modules \ --exclude-dir=.opencode --exclude-dir=.venvUse
-ifor case-insensitive matching. Cache results in-memory — never grep the same noun twice in one audit. -
Tag every subsequent finding with exactly one of these three labels (use the exact spelling — downstream tooling and tests look for them verbatim):
doc-stale— doc claim lags real code that exists. Recommendation: update the doc to match code.doc-orphan— doc references an entity with 0 code matches. Recommendation: delete or rewrite the doc paragraph — the entity may have been removed, renamed, or migrated. Do NOT recommend "update X to match Y" against another doc — both sides may be ghosts.code-undocumented— code exists, no doc reference. Recommendation: add documentation.
-
Report ordering: in the final report, surface doc-only-with-no-code findings first (the orphan tag above) — they are the highest-confidence "delete this stale paragraph" actions and prevent compounding rewrites against ghosts. Doc-lags-code next, then code-without-doc last.
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.
- 2d ago First seen · 173 lines · 39 tokens per session scan A 4785da026984
auditor is an agent published in the GitHub repository dppdppd/rpm (3 stars, last pushed 3d ago), licensed MIT. It adds 39 tokens to every session and 1,766 once invoked, about $0.0002 per session on Opus 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.
Other agents, from other repositories
onboarding-agent
Agent that helps onboard repositories into AllBeads.
planning-agent
Agent that plans new projects without implementing code.
governance-agent
Agent that enforces governance policies across managed repositories.
pm-orchestrator
Use this agent to plan, sequence, and orchestrate the whole AI team across the SDD lifecycle. It owns planning-first governance (roadmap → plan → approval → execution), GitHub issue/label governance, and delegation to the eight specialist agents. It drives the document lifecycle through the plugin's native SDD skills…
deep-review-claude
Independent deep technical review using Anthropic Claude model.
brainstorm
Use when the user has a net-new software project idea that needs shaping into a brief before tasks can be created. Triggers: "I want to build...", "I'm thinking about an app for...", "let's plan a project", vague or exploratory phrasing, ambiguous scope. Do not use when an existing repo is present (route to…