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/rjmurillo/ai-agentsWrote 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/commands/rjmurillo/ai-agents/spec-check-completeness)<a href="https://agentmods.dev/commands/rjmurillo/ai-agents/spec-check-completeness"><img src="https://agentmods.dev/badge/commands/rjmurillo/ai-agents/spec-check-completeness/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/commands/rjmurillo/ai-agents/spec-check-completeness"><img src="https://agentmods.dev/badge/commands/rjmurillo/ai-agents/spec-check-completeness.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 | $0.00000 | $0.02424 |
| Opus 5.5 | $0.00000 | $0.00970 |
| Sonnet 5.5 | $0.00000 | $0.00485 |
| Haiku 4.5 | $0.00000 | $0.00242 |
Grade A, and why
spec-check-completeness 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 3d 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 — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Implementation Completeness Check
You are validating that the implementation satisfies all acceptance criteria from the specification.
Task
- Extract all acceptance criteria from the specification
- Check if the implementation satisfies each criterion
- Identify any missing functionality or edge cases
Acceptance Criteria Sources
Look for acceptance criteria in:
- Explicit "Acceptance Criteria" sections
- "Given/When/Then" scenarios
- "Done Definition" or "Definition of Done"
- Numbered requirements with measurable outcomes
- Test cases or test scenarios
Evaluation Guidelines
For each acceptance criterion, assess:
- Functionality: Does the code implement the required behavior?
- Edge Cases: Are boundary conditions handled?
- Error Handling: Are failure scenarios addressed?
- Integration: Does it work with existing code?
Output Format
Output your analysis in this format:
### Acceptance Criteria Checklist
- [x] Criterion 1: [description] - SATISFIED
- Evidence: [file:line or description]
- [ ] Criterion 2: [description] - NOT SATISFIED
- Missing: [what's needed]
- [~] Criterion 3: [description] - PARTIALLY SATISFIED
- Implemented: [what's done]
- Missing: [what's needed]
### Missing Functionality
1. [Specific missing feature or behavior]
2. [Edge case not handled]
### Edge Cases Not Covered
1. [Boundary condition]
2. [Error scenario]
### Implementation Quality
- **Completeness**: X% of acceptance criteria satisfied
- **Quality**: [assessment of implementation quality]
End your analysis with a GitHub Alert block matching the verdict:
For PASS:
> [!TIP]
> **VERDICT: PASS**
> Implementation aligns with specification requirements. [Brief explanation]
For PARTIAL:
> [!WARNING]
> **VERDICT: PARTIAL**
> Most criteria satisfied but minor gaps exist. [Brief explanation]
For FAIL:
> [!CAUTION]
> **VERDICT: FAIL**
> Critical acceptance criteria not satisfied. [Brief explanation]
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.
- 3d ago First seen · 231 lines · 0 tokens per session scan A 790e5338a53e
spec-check-completeness is a command published in the GitHub repository rjmurillo/ai-agents (48 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,424 tokens. 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 2026-10-19.
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