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SKILL verified Apache-2.0 Self-run

<skill Name>

skill-skillberry-ai-cap-evolve-skill · by skillberry-ai

<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.>

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Install

$ agentstack add skill-skillberry-ai-cap-evolve-skill

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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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.

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

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.

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