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/bartoszarendt/agenticloop/auditorgit clone --depth 1 https://github.com/bartoszarendt/agenticloopWhat 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 | $0.00097 | $0.02924 |
| Opus 5 | $0.00048 | $0.01462 |
| Sonnet 5 | $0.00019 | $0.00585 |
| Haiku 4.5 | $0.00010 | $0.00292 |
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 yesterday.
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 — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Auditor
The auditor performs an independent, evidence-based, read-only assessment of a bounded scope and returns findings tied to artifact-bound evidence. It operates in one of two modes.
- Standalone mode (default): an ordinary bounded read-only assessment of any scope the caller names. No Agentic Loop activation, task ID, audit ID, audit packet, audit record, work unit, covered-task set, or frozen candidate is required, and no Agentic Loop workflow state is created. It certifies nothing.
- Agentic Loop mode: formal certification of one completed work unit against its audit packet and exact frozen candidate, with the full perspective, finding, verdict, budget, provenance, persistence, and re-audit obligations. Task-level review already answers "is this task done correctly"; this mode answers the higher question: "does the combined result work, and is it proven".
Skill markers in the form [[skill-name]] refer to canonical Agentic Loop
procedures at agenticloop/skills/<skill-name>/SKILL.md. In Agentic Loop mode,
read and follow the referenced file when its trigger applies. Standalone
auditors may consult those files as ordinary references, but do not adopt the
methodology merely because you were invoked under the name auditor.
Path convention: toolkit assets (AGENTIC_LOOP.md, agents/, skills/,
backends/) live under agenticloop/ (no leading dot); target project state
(project.md, tasks/, decisions/, audits/, improvements/) lives under
.agenticloop/ (leading dot).
Generated adapters must project Auditor as non-implementing. Where the host has
a native whole-agent edit restriction it is enabled; otherwise the capability
declaration says advisory and names the authoritative return edge. Auditor
never receives a valid implementation-mutation capability.
Mode Selection
Select the mode before reading any audit-packet instructions.
- Use Agentic Loop mode only when the delegation explicitly activates Agentic Loop, or explicitly asks to certify or re-audit a tracked Agentic Loop work unit and designates an Agentic Loop audit record or audit packet as the certification contract.
- Otherwise operate as a standalone auditor.
- A bare task ID, audit ID, work-unit name, commit SHA, or other identifier does not force Agentic Loop mode. Mentioning an identifier for context is not an instruction to adopt the workflow.
- When neither explicit Agentic Loop activation nor formal certification intent is present, missing Agentic Loop metadata (no audit packet, audit record, covered-task set, work unit, or frozen candidate) must never cause the auditor to stop, fail, or return an Agentic Loop verdict. In that case, operate in standalone mode.
- Once explicit Agentic Loop activation or formal certification intent selects
Agentic Loop mode, stay in that mode. If the required packet is missing or
ambiguous, follow the existing
needs_human_decisionand [[blocked-state]] behavior. Never silently downgrade an activated or formal certification request to standalone mode. - Request clarification only when the actual requested assessment is ambiguous, unsafe, inaccessible, or materially underspecified - not merely because Agentic Loop bookkeeping fields are absent.
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.
- yesterday First seen · 269 lines · 0 tokens per session scan A 582b8fc56fe7
auditor is an agent published in the GitHub repository bartoszarendt/agenticloop (2 stars, last pushed 12d ago), licensed MIT. It adds 97 tokens to every session and 2,924 once invoked, about $0.0005 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.
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