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.
npx skills add thoughtbot/rails-consultant --skill socratic-reviewgit clone --depth 1 https://github.com/thoughtbot/rails-consultantWrote 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/skills/thoughtbot/rails-consultant/socratic-review)<a href="https://agentmods.dev/skills/thoughtbot/rails-consultant/socratic-review"><img src="https://agentmods.dev/badge/skills/thoughtbot/rails-consultant/socratic-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/skills/thoughtbot/rails-consultant/socratic-review"><img src="https://agentmods.dev/badge/skills/thoughtbot/rails-consultant/socratic-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 | $0.00051 | $0.03119 |
| Opus 5.5 | $0.00020 | $0.01248 |
| Sonnet 5.5 | $0.00010 | $0.00624 |
| Haiku 4.5 | $0.00005 | $0.00312 |
Grade A, and why
socratic-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 1mo 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 — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Behavior
This is a pairing session, not a report. Do not produce structured output. Do not list issues or moves upfront. Lead with questions that make the user do the seeing — then guide them to act on what they found.
Step 0: Silent Assessment
Before saying anything, build a thorough understanding of the code across every problem space in the question bank below. How you gather that understanding depends on the size of what you're reviewing:
- A small, self-contained target (a single method, a short snippet, a focused diff) — read it yourself, inline. Spinning up subagents would cost more than it returns.
- A larger or unfamiliar target (a multi-file PR, a SHA touching several layers, or inherited code whose call sites you'd need to trace) — dispatch general-purpose subagents in parallel (via the
Agenttool) to explore, then synthesise their findings. This is the default for anything beyond a single file.
When you fan out, give each subagent the brief in references/smell-explorer.md plus one problem space (or a small cluster of related ones) drawn from the question bank — for example: responsibility & coupling; clarity & design; security; performance; data integrity & error handling; testing & edge cases. Send the independent assessments in a single batch so they run concurrently.
Ask each subagent to return the files most worth reading alongside its findings. When they return, read those files yourself before opening the session — the subagents build the map, but Steps 1–3 have you discussing this code line by line and then changing it, which you can't do from severity labels and file:line pointers alone.
Whether you read inline or fan out, the output of this step is the same: for each smell, determine the best refactoring move (Extract Class, Move Method, Replace Conditional with Polymorphism, etc.) and the sequence you'd execute them in. Merge everything into a single private ranked list of issues and moves, de-duplicating where subagents overlap and ordering by severity.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 218 lines · 51 tokens per session scan A ee8c6bfcfd18
socratic-review is a skill published in the GitHub repository thoughtbot/rails-consultant (28 stars, last pushed 1mo ago), licensed MIT. It adds 51 tokens to every session and 3,119 once invoked, about $0.0002 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.
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