ratel-improve-tools

ratel-improve-tools is a skill for Claude Code from ratel-ai/ratel-local. It costs 66 tokens per session (740 once invoked), scanned A, original, MIT.

A tool for reviewing local Ratel tool-usage logs and suggesting improvements to the available tool catalogue. Ratel is a local layer that connects coding agents to external tools.

In plain words
What is it for?
Auditing recent agent tool use and improving an MCP setup. It reads a bounded log window, handles missing or malformed entries, and summarizes issues without exposing secrets or private data.
Why use it?
It shows where tool calls failed, were repeated, or caused friction instead of relying on guesswork. The review can guide changes to tool servers or their configuration.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Claude Code; mentions Codex.

Part of the ratel-local plugin — 2 skills, 2 hooks, 1 MCP server shipped together

Good fit Auditing recent agent tool use and improving an MCP setup. It reads a bounded log window, handles missing or malformed entries, and summarizes issues without exposing secrets or private data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ratel-ai/ratel-local/ratel-improve-tools
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.

Any agent
npx skills add ratel-ai/ratel-local --skill ratel-improve-tools
Clone the repo
git clone --depth 1 https://github.com/ratel-ai/ratel-local

Made for: Claude Code.

Or install ratel-local, the plugin that ships this one along with the rest of its 2 skills, 2 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 ratel-improve-tools

README.md
[![agentmods](https://agentmods.dev/badge/skills/ratel-ai/ratel-local/ratel-improve-tools/github.svg)](https://agentmods.dev/skills/ratel-ai/ratel-local/ratel-improve-tools)
Your own site
<a href="https://agentmods.dev/skills/ratel-ai/ratel-local/ratel-improve-tools"><img src="https://agentmods.dev/badge/skills/ratel-ai/ratel-local/ratel-improve-tools/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 ratel-improve-tools

Your own site · 80×15
<a href="https://agentmods.dev/skills/ratel-ai/ratel-local/ratel-improve-tools"><img src="https://agentmods.dev/badge/skills/ratel-ai/ratel-local/ratel-improve-tools.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 740 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00066 $0.00740
Opus 5 $0.00033 $0.00370
Sonnet 5 $0.00013 $0.00148
Haiku 4.5 $0.00007 $0.00074

Measured 12d ago against content hash 7666673b8c75, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ratel-improve-tools 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 12d 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.

apps/ratel-local/plugin/skills/ratel-improve-tools/SKILL.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ratel Improve Tools

Goal

Use Ratel tool usage logs to propose practical improvements to the user's MCP tool setup. Focus on what the agent actually tried to do, where tool use failed or repeated, and which upstream MCP servers or Ratel configuration changes would reduce friction.

Do not print raw log entries unless the user explicitly asks. Treat logs as private local telemetry and redact secrets, tokens, request headers, file contents, and customer data in summaries.

Log Location

Read tool usage from:

${RATEL_HOME:-$HOME/.ratel}/tool-usage/tool-usage.jsonl

Each line is JSON with schemaVersion, timestamp, host, event, toolName, optional toolInput, optional outcome, and hook payload metadata. Handle missing files, empty files, and malformed lines gracefully.

If no logs exist, say that there is no tool usage data yet and suggest enabling/trusting the Ratel Local plugin hooks, then running normal agent work before trying again.

Analysis Workflow

  1. Inspect recent logs first. Prefer a bounded window such as the last 500-2000 lines unless the user asks for a full history.
  2. Parse JSONL structurally. Do not rely on ad hoc text matching when JSON parsing is available.
  3. Group by toolName, host, event type, success/error signal, and repeated input patterns.
  4. Compare the observed usage against configured Ratel scopes when useful:
~/.ratel/config.json
<project>/.ratel/config.json
<project>/.ratel/config.local.json
  1. Run ratel-local retrieval status when capability-search quality is part of the problem. BM25 is the default; recommend semantic or hybrid retrieval only when the observed misses justify model setup, memory, and privacy tradeoffs.
  2. Look for:
  • high-frequency tools that deserve first-class upstreams, aliases, or better descriptions;
  • repeated search_capabilities calls that do not lead to useful invoke_tool calls;
  • failed or denied tool calls that indicate missing auth, missing tools, weak schemas, or bad defaults;
  • direct non-Ratel Local tool usage that should be imported into Ratel;
  • similar tools split across upstreams where a curated choice would reduce noise;
  • workflows where a new MCP server, skill, or Ratel CLI helper would be more effective than another tool.

Read the full file on GitHub · 69 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. 12d ago First seen · 69 lines · 66 tokens per session scan A 7666673b8c75

Subscribe to this mod's changes

ratel-improve-tools is a skill published in the GitHub repository ratel-ai/ratel-local (13 stars, last pushed today), licensed MIT. It adds 66 tokens to every session and 740 once invoked, about $0.0003 per session on Opus 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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