tools

tools is a skill for Claude Code from skillberry-ai/cap-evolve. It costs 81 tokens per session (4,465 once invoked), scanned A, original, Apache-2.0.

A guide for improving an agent’s own tools, including their names, instructions, input formats, outputs, and implementation code. “Own tools” are tools the agent’s project defines and controls, rather than tools supplied by another service.

In plain words
What is it for?
Use it to improve tool descriptions, schemas, error messages, return values, and handlers when optimizing an agent’s toolset.
Why use it?
Agents can choose the wrong tool, fill in arguments incorrectly, repeat calls, or struggle with unclear tool results. This helps identify and fix those causes.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions subagents.

Good fit Use it to improve tool descriptions, schemas, error messages, return values, and handlers when optimizing an agent’s toolset.

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Install with agentmods
npx agentmods add skills/skillberry-ai/cap-evolve/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 skillberry-ai/cap-evolve --skill tools
Clone the repo
git clone --depth 1 https://github.com/skillberry-ai/cap-evolve

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 tools

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/skillberry-ai/cap-evolve/tools"><img src="https://agentmods.dev/badge/skills/skillberry-ai/cap-evolve/tools.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,465 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 $0.00081 $0.04465
Opus 5.5 $0.00032 $0.01786
Sonnet 5.5 $0.00016 $0.00893
Haiku 4.5 $0.00008 $0.00447

Measured 5d ago against content hash d6a5ec65e461, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

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 5d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/_bootstrap.py, scripts/abstract.py, scripts/check.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/capabilities/tools/SKILL.md · 246 lines

How it starts

The opening of the file, as written. The whole thing — 246 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Capability: tools (full control)

This capability treats the agent's entire tool surface as the optimizable artifact. It applies when the agent owns its tools — it implements the handlers, defines the wire schema, and controls every caller — so names, descriptions, parameter docs, in-description examples, the JSON Schema, and the implementation code are all fair game. (When the tools come from an external server you can only re-describe, not re-implement: that is mcp-tool, whose policy is tightened to documentation-only edits.)

What you can change here

The tool's documentation AND its return value are what the agent SEES — make both clear and recovery-oriented. The doc surface (description, important-notes, per-param, error/Raises text, examples) drives which tool the model calls and how it fills the arguments; the return value (and especially the error text) steers the next turn. Confirm which parts of a docstring your runtime actually SENDS before writing into it — some frameworks discard whole sections, and guidance written into that void does nothing (references/field-notes.md §1).

Ship MULTIPLE fixes per iteration, each REAL (a failing trace shows the problem) and GENERAL (it covers a class of situations, not one task). Aim for the edits with the largest expected reward gain over the whole task distribution: a guard, tool or procedure that removes a root cause shared by several tasks beats a patch for one. A speculative edit no trace supports is worse than none; never add an edit to hit a count, and never re-add a rule or tool the run already tried and rejected.

Scope guards to the violating condition. A guard should fire on the general condition that makes the call wrong (the id is not in the user's records, the record is in a state that forbids the action), not on a task's literals. Where you can run it on the arguments of a failing trace and of a passing one that uses the same tool, do; where you cannot, read it through against both.

Read the full file on GitHub · 246 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. 5d ago Changed · +1 lines d6a5ec65e461
  2. 11d ago Changed · +5 lines 2a03ca0fcc1d
  3. 1mo ago Changed · +1 lines 5559a86df2a2
  4. 1mo ago First seen · 239 lines · 81 tokens per session scan A a46d8e5e4ba9

Subscribe to this mod's changes

tools is a skill published in the GitHub repository skillberry-ai/cap-evolve (65 stars, last pushed today), licensed Apache-2.0. It adds 81 tokens to every session and 4,465 once invoked, about $0.0003 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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