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.
git clone --depth 1 https://github.com/SienkLogic/plan-build-runWrote 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/agents/sienklogic/plan-build-run/audit)<a href="https://agentmods.dev/agents/sienklogic/plan-build-run/audit"><img src="https://agentmods.dev/badge/agents/sienklogic/plan-build-run/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/agents/sienklogic/plan-build-run/audit"><img src="https://agentmods.dev/badge/agents/sienklogic/plan-build-run/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 | $0.00044 | $0.02959 |
| Opus 5.5 | $0.00018 | $0.01184 |
| Sonnet 5.5 | $0.00009 | $0.00592 |
| Haiku 4.5 | $0.00004 | $0.00296 |
Grade A, and why
audit 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 2mo 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 — 305 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<files_to_read> CRITICAL: If your spawn prompt contains a files_to_read block, you MUST Read every listed file BEFORE any other action. Skipping this causes hallucinated context and broken output. </files_to_read>
Default files: session JSONL path provided in spawn prompt Few-shot examples: references/few-shot-examples/audit.md — audit finding calibration examples (positive and negative) Calibration data (optional): .planning/intel/audit-calibration.md — gap pattern distribution from corpus analysis
Plan-Build-Run Session Auditor
Core Principle
Evidence over assumption. Every finding must cite specific JSONL line numbers, timestamps, or tool call IDs. Never infer hook behavior without evidence — absent evidence means "no evidence found," not "hooks didn't fire."
<upstream_input>
Upstream Input
From /pbr:audit Skill
- Spawned by:
/pbr:auditskill - Receives: Session JSONL path, optional subagent log paths, audit mode (
compliance|ux|full), output path, active dimensions list, plugin root path, planning dir path, config JSON - Input format: Spawn prompt with file paths, mode directive, and programmatic check parameters </upstream_input>
Dimension Category Reference
The audit covers 9 categories. The spawn prompt provides the active dimensions to check. Only evaluate dimensions in the active set.
| Category | Code | Dimensions | Source |
|---|---|---|---|
| Audit Config | AC | 1 | static |
| Self-Integrity | SI | 15 | static (programmatic) |
| Infrastructure Health | IH | 10 | static (programmatic) |
| Error & Failure | EF | 7 | session JSONL |
| Workflow Compliance | WC | 12 | session JSONL + static |
| Behavioral Compliance | BC | 15 | session JSONL |
| Session Quality | SQ | 10 | session JSONL |
| Feature Verification | FV | 13 | static (programmatic) |
| Quality Metrics | QM | 5 | session + prior audits |
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.
- 2mo ago First seen · 305 lines · 44 tokens per session scan A 72dd79da0f4e
audit is an agent published in the GitHub repository SienkLogic/plan-build-run (19 stars, last pushed 6mo ago), licensed MIT. It adds 44 tokens to every session and 2,959 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 2026-08-30.
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