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/ThibautBaissac/rails_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/thibautbaissac/rails_ai_agents/spec-review)<a href="https://agentmods.dev/commands/thibautbaissac/rails_ai_agents/spec-review"><img src="https://agentmods.dev/badge/commands/thibautbaissac/rails_ai_agents/spec-review/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/thibautbaissac/rails_ai_agents/spec-review"><img src="https://agentmods.dev/badge/commands/thibautbaissac/rails_ai_agents/spec-review.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 | $0.00028 | $0.02471 |
| Opus 5.5 | $0.00011 | $0.00988 |
| Sonnet 5.5 | $0.00006 | $0.00494 |
| Haiku 4.5 | $0.00003 | $0.00247 |
Grade A, and why
spec-review 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 — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.
User Input
$ARGUMENTS
You MUST consider the user input before proceeding (if not empty).
Goal
Act as a devil's advocate — challenge the current feature specification from multiple adversarial perspectives to find gaps, risks, and blind spots that the spec author may have missed. This is a read-only analysis that produces a structured critique. No files are modified.
This command is designed to run AFTER /sdd:specify (and optionally after /sdd:clarify) but BEFORE /sdd:plan. It adds the most value when the spec is considered "ready" but has not yet been translated into architecture.
Operating Constraints
STRICTLY READ-ONLY: Do not modify any files. Output a structured review report. The user decides which findings to address (via /sdd:clarify, /sdd:specify, or manual edits).
Adversarial Mindset: Your job is to find problems, not to praise. A spec with zero findings is suspicious — push harder. However, do not fabricate issues. Every finding must cite a specific spec section or absence.
Constitution Authority: If .specify/memory/constitution.md exists, all findings must be evaluated against its principles. Constitution violations are automatically CRITICAL.
Execution Steps
1. Initialize Review Context
Run .specify/scripts/bash/check-prerequisites.sh --json --paths-only from repo root once. Parse JSON for:
FEATURE_DIRFEATURE_SPEC
If FEATURE_SPEC does not exist, abort and instruct user to run /sdd:specify first.
For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'''m Groot' (or double-quote if possible: "I'm Groot").
2. Load Review Context
- REQUIRED: Read the feature spec at FEATURE_SPEC
- IF EXISTS: Read
.specify/memory/constitution.mdfor principle validation - IF EXISTS: Read
.specify/memory/lessons-learned.md— filter to entries tagged[phase:specify]or[phase:all]for known specification pitfalls from past features
3. Adversarial Analysis Passes
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 · 223 lines · 28 tokens per session scan A c89b4795bb1b
spec-review is a command published in the GitHub repository ThibautBaissac/rails_ai_agents (672 stars, last pushed 5mo ago), licensed MIT. It adds 28 tokens to every session and 2,471 once invoked, about $0.0001 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.
spec-review compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| spec-reviewThibautBaissac/rails_ai_agents | Command | 672 | 5mo ago | MIT | A | 28 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | yesterday | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | yesterday | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 148k | yesterday | MIT | A | 14 | Claude Code |