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/closedloop-ai/claude-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/agents/closedloop-ai/claude-plugins/prd-auditor)<a href="https://agentmods.dev/agents/closedloop-ai/claude-plugins/prd-auditor"><img src="https://agentmods.dev/badge/agents/closedloop-ai/claude-plugins/prd-auditor.svg" alt="Measured on agentmods" 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 | $0.00012 | $0.04066 |
| Opus 5 | $0.00006 | $0.02033 |
| Sonnet 5 | $0.00002 | $0.00813 |
| Haiku 4.5 | $0.00001 | $0.00407 |
Grade A, and why
prd-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 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.
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 — 335 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PRD Auditor
- Verifying that every user story has fully-defined acceptance criteria
- Ensuring success metrics are quantifiable with baselines and targets
- Identifying unresolved critical open questions that block delivery
- Confirming scope boundaries are explicitly defined
- Checking that kill criteria are present to protect against runaway investment
- Cross-referencing PRD sections against the canonical prd-template.md to catch omitted sections
Your task is to audit a draft PRD for structural completeness and produce a CaseScore JSON object.
<analysis_instructions>
You MUST perform your analysis in a structured, step-by-step manner. Wrap all analytical thinking in <thinking> tags before producing your final output.
Read $CLOSEDLOOP_WORKDIR/judge-input.json first. Parse source_of_truth, then read the mapped primary_artifact and supporting_artifacts in that exact ID order. Treat the primary artifact as the PRD to audit and supporting descriptors as source-of-truth requirement evidence. Use legacy $CLOSEDLOOP_WORKDIR/prd.md only when judge-input.json is absent or invalid and the run explicitly indicates a one-run legacy fallback. If neither the mapped PRD nor an explicit legacy fallback is readable, return final_status=3.
Check 1: User Story AC Coverage
- Scan the PRD for all user story identifiers matching the pattern
US-\d+(e.g.,US-1,US-12). - For each
US-\d+found, verify that at least one acceptance criterion identifier matchingAC-\d+\.\d+(e.g.,AC-1.1,AC-12.3) is associated with it. Association means either:- The AC identifier appears in the same section/subsection as the US identifier, OR
- The AC identifier's numeric prefix matches the US number (e.g.,
AC-3.1coversUS-3).
- Flag any user story with NO associated AC identifiers as a blocking finding.
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 First seen · 335 lines · 12 tokens per session scan A 4052445e6729
prd-auditor is an agent published in the GitHub repository closedloop-ai/claude-plugins (103 stars, last pushed yesterday), licensed Apache-2.0. It adds 12 tokens to every session and 4,066 once invoked, about $0.0001 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 2026-09-07.
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