CachiBot: Skill for Claude Code

.claude/skills/review-fix/SKILL.md

review-fix is a skill for Claude Code from jhd3197/CachiBot. It costs 38 tokens per session (1,679 once invoked), scanned A, original, MIT.

A workflow that reads the latest code review, creates a plan for every finding, and applies the planned fixes. It saves the plan and execution log in the .reviews/ folder.

In plain words
What is it for?
Use it after a code review to group fixes by priority, update the affected code, and record what was done.
Why use it?
It removes the need to copy review comments into a separate fix plan and track completed changes by hand.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is jhd3197/CachiBot's own configuration. It tells Claude Code how to work on CachiBot itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything CachiBot configures →

Reuse

Borrowing it

Nothing to install: this file belongs to jhd3197/CachiBot. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/jhd3197/CachiBot/main/.claude/skills/review-fix/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/jhd3197/CachiBot

Made for: Claude Code.

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 review-fix

README.md
[![agentmods](https://agentmods.dev/badge/skills/jhd3197/cachibot/review-fix/github.svg)](https://agentmods.dev/skills/jhd3197/cachibot/review-fix)
Your own site
<a href="https://agentmods.dev/skills/jhd3197/cachibot/review-fix"><img src="https://agentmods.dev/badge/skills/jhd3197/cachibot/review-fix/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 review-fix

Your own site · 80×15
<a href="https://agentmods.dev/skills/jhd3197/cachibot/review-fix"><img src="https://agentmods.dev/badge/skills/jhd3197/cachibot/review-fix.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,679 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 $0.00038 $0.01679
Opus 5.5 $0.00015 $0.00672
Sonnet 5.5 $0.00008 $0.00336
Haiku 4.5 $0.00004 $0.00168

Measured 2mo ago against content hash e92ccf01fd6b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

review-fix 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.

.claude/skills/review-fix/SKILL.md · 193 lines

How it starts

The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review Fix — Plan & Execute from Last Review

Read the most recent .reviews/YYYY-MM-DD-review.md, plan fixes for all findings grouped by priority, then execute every planned fix with atomic commits. Produces two artifacts: a review-plan and a review-execution log.

Instructions

Phase 0 — Find the Latest Review

  1. Glob for .reviews/*-review.md and pick the most recent file by date.
  2. Read the full review file. Parse every finding into a list of { severity, reviewer, file, line, description } entries.
  3. If no review file exists, tell the user to run /code-review first and stop.

Phase 1 — Plan

Spawn 4 parallel planning agents (Task tool, subagent_type: Plan) that each receive the full findings list filtered to their scope. Each agent returns a structured list of fix actions.

Agent scopes
Agent Scope
backend Findings from Tina, Marcus, Priya, Carlos, Oscar that touch cachibot/
frontend Findings from Tina, Zoe, Luna that touch frontend/src/
data Findings from Carlos (storage/db layer)
tests Findings from Derek (test coverage gaps)

Findings that span multiple scopes go to every relevant agent.

Each planning agent must:

  • Group related findings that can be fixed together (same file, same pattern).
  • For each group, produce:
    • What: one-line summary of the change
    • Files: list of files to modify
    • How: 2-3 sentence implementation approach
    • Severity: highest severity in the group (Fix > Improve > Note)
    • Risk: Low / Medium / High (does this change behavior or just style?)
    • Depends on: other group IDs this group must wait for (if any)
  • Order groups by: Fix severity first, then by dependency order.
  • Skip any finding rated Note — notes are informational only.

Read the full file on GitHub · 193 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. 2mo ago First seen · 193 lines · 38 tokens per session scan A e92ccf01fd6b

Subscribe to this mod's changes

review-fix is a skill published in the GitHub repository jhd3197/CachiBot (21 stars, last pushed 7mo ago), licensed MIT. It adds 38 tokens to every session and 1,679 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.