huggingface/upskill is a tool that generates and evaluates skills for coding agents by using traces and separate teacher and student models. It helps developers create reusable instructions, test how well agents perform with them, and compare model results. The catalogue entries provide an included skill and instruction for using the project.
Borrowing it
Nothing to install: this file belongs to huggingface/upskill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/huggingface/upskill/main/AGENTS.mdgit clone --depth 1 https://github.com/huggingface/upskillWrote 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.
[](https://agentmods.dev/instructions/huggingface/upskill/agents-md)<a href="https://agentmods.dev/instructions/huggingface/upskill/agents-md"><img src="https://agentmods.dev/badge/instructions/huggingface/upskill/agents-md/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.
<a href="https://agentmods.dev/instructions/huggingface/upskill/agents-md"><img src="https://agentmods.dev/badge/instructions/huggingface/upskill/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00443 | $0.00443 |
| Opus 5.5 | $0.00177 | $0.00177 |
| Sonnet 5.5 | $0.00089 | $0.00089 |
| Haiku 4.5 | $0.00044 | $0.00044 |
Grade A, and why
upskill AGENTS.md 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 2mo 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.
What it actually says
Agent guidance
Code quality baseline
- Target Python
3.13. - Keep changes compatible with the repo's
pyproject.tomlsettings. - Prefer small, typed, composable functions over large command-style blocks.
- Avoid introducing new complexity suppressions unless there is a strong reason.
Required local checks
Before finishing a change, run:
uv sync --extra dev
uv run scripts/format.py
uv run scripts/lint.py
uv run scripts/typecheck.py
uv run --extra dev pytest -v
CI enforces the same flow in .github/workflows/ci.yml.
Ruff rules
Formatting and linting are enforced with Ruff.
- Line length:
100 - Target version:
py313 - Enabled lint families:
B- bugbearC90- cyclomatic complexityE- pycodestyle errorsF- pyflakesI- import sortingRUF- Ruff-specific rulesSIM- simplificationsTCH- type-checking import hygieneUP- pyupgrade
E501is ignored; letruff formatown line wrapping.- Cyclomatic complexity limit:
15
Type checking
tyis required forsrc,tests, andscripts.- Add or improve annotations when touching code that is ambiguous to the type checker.
- Prefer explicit protocols / typed helper structures over
objectwhen wiring dynamic APIs. - Keep type-only imports behind
TYPE_CHECKINGwhen appropriate.
Tests
- Add or update tests for behavior changes.
- Keep the test suite passing with
pytest. - Use focused unit-style tests for logic changes when possible.
Practical authoring guidance
- Prefer refactoring over adding broad ignores.
- If a function is nearing the complexity limit, split it before adding more branches.
- Keep CLI orchestration, model resolution, and persistence logic separated when possible.
- When adding developer tooling, update the README and CI together.
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.
- 2mo ago First seen · 62 lines · 443 tokens per session scan A f3072b61d038
upskill AGENTS.md is an instructions file published in the GitHub repository huggingface/upskill (761 stars, last pushed 2d ago), licensed Apache-2.0. It adds 443 tokens to every session, about $0.0018 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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