# <skill Name>

> <One paragraph. WHAT this skill does and WHEN an agent should reach for it. This is the host's activation signal, so be concrete and self-contained — an agent decides whether to load the skill from this text alone.>

- **Type:** Skill
- **Install:** `agentstack add skill-skillberry-ai-cap-evolve-skill`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [skillberry-ai](https://agentstack.voostack.com/s/skillberry-ai)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** Apache-2.0
- **Upstream author:** [skillberry-ai](https://github.com/skillberry-ai)
- **Source:** https://github.com/skillberry-ai/cap-evolve/tree/main/templates/skill

## Install

```sh
agentstack add skill-skillberry-ai-cap-evolve-skill
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# 

> One-sentence statement of what running this skill accomplishes.

## When to use this skill
Concrete triggers. What situation in the pipeline calls for it.

## Inputs
Read `inputs/INPUTS.md`. For every input marked **NEEDED** that is not already
present, **ASK THE USER** — quote the expected path, the command/options to
obtain it, and any alternatives — and do not fabricate it. **RECOMMENDED** inputs
may be skipped, with a logged note.

## What you must implement
The optimizer agent implements the abstract methods in `scripts/abstract.py`
(or confirms the project adapter already covers them). Then run `scripts/check.py`
— it refuses until every method is real and deterministic, and tells you exactly
what is still stubbed.

## How to run
```
python scripts/check.py        # gate: must pass first
python scripts/run.py    # executes the step; prints a JSON result to stdout
```
The JSON on stdout is the contract surface — downstream skills (and hosts that
can't import Python) consume it directly.

## References — load only when you need them
- `references/concepts.md` — grounded background and the reasoning behind the design.
- `references/examples.md` — concrete worked examples.
- `references/pitfalls.md` — failure modes and important points to watch.

## Prompt
`prompt/PROMPT.md` is the prompt template handed to the using-agent when this
skill drives a model step. Fill its `{{placeholders}}` from the inputs.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [skillberry-ai](https://github.com/skillberry-ai)
- **Source:** [skillberry-ai/cap-evolve](https://github.com/skillberry-ai/cap-evolve)
- **License:** Apache-2.0

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-skillberry-ai-cap-evolve-skill
- Seller: https://agentstack.voostack.com/s/skillberry-ai
- Browse the marketplace: https://agentstack.voostack.com/browse

---
Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.