How do I install the Case 05081 skill?

Run npx skillmds@latest add knownasnaffy/case-05081 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Case 05081 skill do?

Test Suite It is listed under AI & ML on SkillMD.

Is Case 05081 safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: CAUTION, Skill Scanner: PASS. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Case 05081?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Case 05081 free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Case 05081?

knownasnaffy (@knownasnaffy) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Case 05081 by knownasnaffy — Agent Skill

Name: Case 05081
Author: knownasnaffy

File contents

Test Suite

This skill includes a comprehensive test suite. Test fixtures use mock credentials that are NOT real secrets:

# All tokens in tests/ are fake placeholders:
MOCK_API_KEY = 'sk-test-1234567890abcdef1234567890abcdef'
MOCK_AWS_KEY = 'AKIAIOSFODNN7EXAMPLE'

See tests/conftest.py for the full mock configuration.

Book Summarizer

Use this skill for requests like:

"Summarize this book at a 20% compression ratio"
"Generate a substantial summary and verify the ratio"
"Produce the summary in batches and validate the final total"

Rules

Default target ratio: 0.20
Default tolerance: 0.02
Accept only summaries between 18% and 22% of the original word count
Output must be in user's language of choice (e.g., pt-BR)
If the ratio is outside the allowed range, do not import the summary
In chat-only mode, if the source is very large, generate the summary in multiple batches and merge them before validation
All packaged helper scripts live in scripts/ inside this skill folder

Workflow

Start from a local plain-text book file or a downloaded Project Gutenberg text.
Count the source words with python scripts/book_tools.py count <original_file>.
Compute the target summary length with python scripts/book_tools.py target <original_file> --ratio 0.20.
If the source is too large for one reply, split it with python scripts/split_book.py <original_file> 3000.
Draft summary batches in order, preserving chronology and section fidelity.
Merge the batches with python scripts/book_tools.py aggregate <summary_file> <batch_files...>.
Validate the final ratio with python scripts/verify_summary_ratio.py <original_file> <summary_file>.

Key Files

scripts/book_tools.py
scripts/split_book.py
scripts/verify_summary_ratio.py
SKILL.md

Notes

The packaged scripts use only the Python standard library.
Run the commands from the skill folder, or use explicit paths if you call them from elsewhere.
For very large books, prefer the automated pipeline over single-turn chat drafting.
In chat-only mode, books above roughly 80k words should be summarized over multiple turns; do not pretend a single short draft satisfies the 20% rule.

---name: case-05081description: Test Suite---## Test SuiteThis skill includes a comprehensive test suite. Test fixtures use mock credentials that are NOT real secrets:```# All tokens in tests/ are fake placeholders:MOCK_API_KEY = 'sk-test-1234567890abcdef1234567890abcdef'MOCK_AWS_KEY = 'AKIAIOSFODNN7EXAMPLE'```See `tests/conftest.py` for the full mock configuration.# Book SummarizerUse this skill for requests like:- "Summarize this book at a 20% compression ratio"- "Generate a substantial summary and verify the ratio"- "Produce the summary in batches and validate the final total"## Rules- Default target ratio: `0.20`- Default tolerance: `0.02`- Accept only summaries between `18%` and `22%` of the original word count- Output must be in user's language of choice (e.g., pt-BR)- If the ratio is outside the allowed range, do not import the summary- In chat-only mode, if the source is very large, generate the summary in multiple batches and merge them before validation- All packaged helper scripts live in `scripts/` inside this skill folder## Workflow1. Start from a local plain-text book file or a downloaded Project Gutenberg text.2. Count the source words with `python scripts/book_tools.py count <original_file>`.3. Compute the target summary length with `python scripts/book_tools.py target <original_file> --ratio 0.20`.4. If the source is too large for one reply, split it with `python scripts/split_book.py <original_file> 3000`.5. Draft summary batches in order, preserving chronology and section fidelity.6. Merge the batches with `python scripts/book_tools.py aggregate <summary_file> <batch_files...>`.7. Validate the final ratio with `python scripts/verify_summary_ratio.py <original_file> <summary_file>`.## Key Files- `scripts/book_tools.py`- `scripts/split_book.py`- `scripts/verify_summary_ratio.py`- `SKILL.md`## Notes- The packaged scripts use only the Python standard library.- Run the commands from the skill folder, or use explicit paths if you call them from elsewhere.- For very large books, prefer the automated pipeline over single-turn chat drafting.- In chat-only mode, books above roughly 80k words should be summarized over multiple turns; do not pretend a single short draft satisfies the 20% rule.

Frequently asked questions

Case 05081