spec-check-completeness

spec-check-completeness is a command for GitHub Copilot from rjmurillo/ai-agents. It costs 0 tokens per session (2,424 once invoked), scanned A, original, MIT.

An implementation completeness check that compares code with the acceptance criteria in a specification. Acceptance criteria are the conditions that must be met for work to count as complete.

In plain words
What is it for?
It is for reviewing Given/When/Then scenarios, definitions of done, numbered requirements, and test scenarios against an implementation.
Why use it?
A feature may appear finished while missing an edge case, error path, or integration step. This check identifies satisfied, partly satisfied, and missing criteria with evidence or a description of what remains.

Command for GitHub Copilot

Written for GitHub Copilot: a Copilot chat mode or prompt.

Good fit It is for reviewing Given/When/Then scenarios, definitions of done, numbered requirements, and test scenarios against an implementation.

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Install with agentmods
npx agentmods add commands/rjmurillo/ai-agents/spec-check-completeness
Install

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.

Clone the repo
git clone --depth 1 https://github.com/rjmurillo/ai-agents

Made for: GitHub Copilot.

Wrote 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.

agentmods badge for spec-check-completeness

README.md
[![agentmods](https://agentmods.dev/badge/commands/rjmurillo/ai-agents/spec-check-completeness/github.svg)](https://agentmods.dev/commands/rjmurillo/ai-agents/spec-check-completeness)
Your own site
<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.

agentmods 80×15 button for spec-check-completeness

Your own site · 80×15
<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>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,424 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 3d ago against content hash 790e5338a53e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

.github/prompts/spec-check-completeness.md · 231 lines

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

  1. Extract all acceptance criteria from the specification
  2. Check if the implementation satisfies each criterion
  3. 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:

  1. Functionality: Does the code implement the required behavior?
  2. Edge Cases: Are boundary conditions handled?
  3. Error Handling: Are failure scenarios addressed?
  4. 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]

Read the full file on GitHub · 231 lines

Changes

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.

  1. 3d ago First seen · 231 lines · 0 tokens per session scan A 790e5338a53e

Subscribe to this mod's changes

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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