ask-llm-fable-review

ask-llm-fable-review is a skill for Claude Code from Lykhoyda/ask-llm. It costs 57 tokens per session (621 once invoked), scanned A, a copy of fable-review, MIT.

A read-only code review workflow that asks the Fable AI model to inspect a bounded set of changes in an isolated context. It checks the review's findings against available source information.

In plain words
What is it for?
Use it to review a diff, including selected untracked files, for possible problems before merging.
Why use it?
It provides an independent review without allowing the reviewer to modify the project, while making limits on model inspection explicit.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions CLAUDE.md; mentions subagents; names the AskUserQuestion tool.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the ask-llm plugin — 36 skills, 9 agents, 5 hooks, 1 MCP server shipped together

Good fit Use it to review a diff, including selected untracked files, for possible problems before merging.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add Lykhoyda/ask-llm
Claude Code
/plugin install ask-llm

Made for: Claude Code.

Or install ask-llm, the plugin that ships this one along with the rest of its 36 skills, 9 agents, 5 hooks, 1 MCP server.

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 ask-llm-fable-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/lykhoyda/ask-llm/ask-llm-fable-review/github.svg)](https://agentmods.dev/skills/lykhoyda/ask-llm/ask-llm-fable-review)
Your own site
<a href="https://agentmods.dev/skills/lykhoyda/ask-llm/ask-llm-fable-review"><img src="https://agentmods.dev/badge/skills/lykhoyda/ask-llm/ask-llm-fable-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.

agentmods 80×15 button for ask-llm-fable-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/lykhoyda/ask-llm/ask-llm-fable-review"><img src="https://agentmods.dev/badge/skills/lykhoyda/ask-llm/ask-llm-fable-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 621 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 100% copy Near-identical to another mod 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 $0.00057 $0.00621
Opus 5.5 $0.00023 $0.00248
Sonnet 5.5 $0.00011 $0.00124
Haiku 4.5 $0.00006 $0.00062

Measured 14d ago against content hash d885b7e34856, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ask-llm-fable-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 14d 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.

Origin

This is a copy

100% identical to fable-review — 42 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.

packages/llm-mcp/skills/ask-llm-fable-review/SKILL.md · 43 lines

How it starts

The opening of the file, as written. The whole thing — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Portable contract

Gather a bounded diff and context brief, run the independent Fable reviewer in a read-only isolated context, source-verify its findings, and disclose that the resolved runtime model cannot be independently inspected.

Host adapters

Pi adapter

Unsupported and intentionally not loaded or advertised by the Pi manifest. Do not start a nested Pi/Fable session. Independent Fable review remains a Claude Code capability.

Claude Code adapter

The existing detailed workflow below is the Claude Code adapter. Its Agent, MCP, hook, CLAUDE_PLUGIN_ROOT, and AskUserQuestion mechanics apply only on Claude Code; they do not override the Pi adapter above.

Fable Code Review

Request a read-only, precision-first review in an isolated Fable context.

Workflow

  1. Use Bash to read CLAUDE_CODE_SUBAGENT_MODEL. If it is set to anything other than inherit, fable, or a claude-fable-* model ID, abort before launching: this environment variable has higher precedence than the skill's model request.
  2. Run git status --short, git diff, and git diff --cached.
  3. Include untracked files the user wants reviewed with git add -N <path> so their contents appear in the diff without staging them.
  4. If the combined diff is empty, report that there are no changes to review.
  5. Read the root and file-scoped CLAUDE.md files plus any ADRs cited by changed code.
  6. Launch the fable-reviewer agent with the per-invocation model set to fable, plus the diff and a compact context brief containing the changed files, applicable conventions, referenced ADRs, and the user's requested review focus.
  7. If the Agent tool reports a fallback or model-availability error, abort instead of returning its findings as a Fable review.
  8. Return the agent's validated findings without adding unverified issues. State that Fable was requested but the resolved model was not independently verified, because Claude Code does not expose the resolved subagent model to skills and an organization availableModels policy can silently fall back to the inherited model.

Read the full file on GitHub · 43 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. 14d ago First seen · 43 lines · 57 tokens per session scan A d885b7e34856

Subscribe to this mod's changes

ask-llm-fable-review is a skill published in the GitHub repository Lykhoyda/ask-llm (18 stars, last pushed 2d ago), licensed MIT. It adds 57 tokens to every session and 621 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to fable-review, differing in 42 lines, and is treated as a copy.

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