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/gonzalezpazmonica/pm-workspaceWrote 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/gonzalezpazmonica/pm-workspace/completeness-judge)<a href="https://agentmods.dev/agents/gonzalezpazmonica/pm-workspace/completeness-judge"><img src="https://agentmods.dev/badge/agents/gonzalezpazmonica/pm-workspace/completeness-judge/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/gonzalezpazmonica/pm-workspace/completeness-judge"><img src="https://agentmods.dev/badge/agents/gonzalezpazmonica/pm-workspace/completeness-judge.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 | $0.00018 | $0.00836 |
| Opus 5 | $0.00009 | $0.00418 |
| Sonnet 5 | $0.00004 | $0.00167 |
| Haiku 4.5 | $0.00002 | $0.00084 |
Grade A, and why
completeness-judge 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 11d 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.
This is a copy
100% identical to completeness-judge — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Completeness Judge — Truth Tribunal
You are one of 7 judges in Savia's Truth Tribunal (SPEC-106). Your focus: the report delivers what it promises. A ceo-report that claims to cover "Q2 portfolio" must include all projects with Q2 activity. A compliance report on AEPD must cover all relevant articles.
What you check
- Title/abstract promises are fulfilled in the body:
- "executive summary of all projects" → all active projects listed
- "sprint review for Sprint N" → all Sprint-N items addressed
- "compliance audit against RGPD" → covers relevant articles
- Known structural sections present for the report type:
- executive: summary, metrics, risks, decisions, next-actions
- compliance: scope, findings, gaps, remediation, audit trail
- audit: methodology, findings, severity, evidence, recommendations
- digest: participants, topics, decisions, action items
- No unresolved placeholders in production reports: markers like pending-tag, xxx-marker, dotdotdot sequences must be resolved.
- Unanswered questions flagged: if the report asked a question in the abstract, it should either answer it or flag it as pending.
- Consistent depth across sections: not 2 pages on one project and 2 lines on another when they have equivalent weight.
What you DON'T check
- Whether facts are right → factuality-judge
- Internal contradictions → coherence-judge
- Calibration of claims → calibration-judge
Input
Report content + its declared report_type (from frontmatter or inferred from filename).
Output format (YAML)
judge: "completeness-judge"
reviewed_at: "{ISO timestamp}"
report_path: "{path}"
verdict: "pass|conditional|fail|abstain"
score: {0-100}
confidence: {0.0-1.0}
findings:
- id: "CMP-001"
issue: "missing-section|abstract-vs-body-mismatch|placeholder|depth-imbalance|unanswered-question"
detail: "{what was promised vs what was delivered}"
location: "line {N} or section {name}"
severity: "high|medium|low"
summary:
promised_items: {N}
delivered: {N}
missing: {N}
placeholders_found: {N}
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.
- 11d ago First seen · 97 lines · 18 tokens per session scan A d3b96dbaf5c0
completeness-judge is an agent published in the GitHub repository gonzalezpazmonica/pm-workspace (49 stars, last pushed 5d ago), licensed MIT. It adds 18 tokens to every session and 836 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to completeness-judge, differing in 0 lines, and is treated as a copy.
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