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.
npx agentmods add skills/alibaba/skill-up/skill-uppernpx skills add alibaba/skill-up --skill skill-uppergit clone --depth 1 https://github.com/alibaba/skill-upWhat 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 | $0.00130 | $0.03154 |
| Opus 5 | $0.00065 | $0.01577 |
| Sonnet 5 | $0.00026 | $0.00631 |
| Haiku 4.5 | $0.00013 | $0.00315 |
Grade C, and why
skill-upper scanned grade C with 2 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 2d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://raw.githubusercontent.com/alibaba/skill-up/main/install.sh | bash Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL https://raw.githubusercontent.com/alibaba/skill-up/main/install.sh | bash How it starts
The opening of the file, as written. The whole thing — 243 lines — stays where its author put it; the contents beside it link to each section on GitHub.
use-skill-up-cli
Help the user evaluate and evolve Agent Skills through the skill-up CLI.
Manual: https://alibaba.github.io/skill-up/
Language Policy
Default to English when responding to the user. If the user writes in Chinese (or any other language), switch to that language and stay consistent with the user's input throughout the session.
Detection rules (highest priority first):
- The user explicitly specifies a language in the current message (e.g. "answer in English" / "用中文回答") → follow the user's instruction.
- The natural language used in the user's current message → match it.
- None of the above → use English (default).
Regardless of the response language, technical identifiers in this SKILL — CLI commands, eval.yaml / case.yaml field names, report field names, etc. — MUST stay in their original English form. Do not translate them.
Language Rules for Generated Artifacts
When creating or editing eval.yaml, case.yaml, grading scripts, README snippets, final replies, or any other user-visible artifact, treat the language of the user's current message as the output language for this turn:
- If the user asks in Chinese, write the final response and all generated natural-language content in Chinese, including YAML comments,
title,description,input.prompt,expectkeywords, andjudge.criteria. - If the user asks in English, write the final response and all generated natural-language content in English, including YAML comments,
title,description,input.prompt,expectkeywords, andjudge.criteria; do not leave Chinese or CJK characters in generated case files. - If the target Skill itself is written in Chinese but the user asks in English, translate the Skill's functional intent into English test prompts and assertions instead of copying Chinese prose from the target Skill or templates.
- In an English context, deterministic keywords in
rule_basedcases, includingexpect.must_containandjudge.success.output_contains, must also be English keywords. Translate terms such as资源泄漏,关闭, and异常处理intoresource leak,close, andexception handling; do not write bilingual parentheticals like"资源" (resources). - Keep technical identifiers unchanged, such as
schema_version,environment.type,engine.name,rule_based,agent_judge,script_path, file paths, and commands. - Generated YAML comments must use field-leading comments. Keep each comment short: one line for field meaning, plus one line for options only when useful.
- When listing options in comments, keep enum values unchanged, such as
none | opensandbox | dockerandrule_based | agent_judge | script. - Treat
assets/*.tmplas structural references only. Rewrite placeholder prose and comments into the current output language; in an English context, translate or remove every Chinese comment and Chinese placeholder before writing generated files. skill-up importuses the CLI conversion path and does not preserve template comments; do not promise commented YAML for import-generated files.- In an English context, after generating all files but BEFORE submitting the final reply, you MUST perform a CJK self-check: open every
evals/cases/*.yamlandevals/eval.yamland scan for CJK characters (Unicode ranges\u4e00-\u9fff\u3400-\u4dbf\uf900-\ufaff\u3000-\u303f\uff00-\uffef), including but not limited totitle,description,input.prompt,expectkeywords,judge.criteria, and YAML comments. If any CJK character is found, replace it with an equivalent English expression before finishing the task. This step is mandatory and must not be skipped.
What ships with it
22 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/case.yaml.tmpl 2.6 KB
- assets/eval.yaml.tmpl 2.8 KB
- evals/cases/add-case-to-existing.yaml 1.1 KB
- evals/cases/english-context-generates-english-only-cases.yaml 902 B
- evals/cases/evolve-existing-skill.yaml 1.4 KB
- evals/cases/scaffold-new-evals.yaml 1.5 KB
- evals/cases/scaffold-with-qodercli-engine.yaml 1.2 KB
- evals/cases/scaffold-with-script-judge.yaml 1.2 KB
- evals/eval.yaml 827 B
- evals/fixtures/scripts/assert-english-only-generated-cases.sh 4.8 KB runs code
- evals/fixtures/skills/sample-no-evals/SKILL.md 774 B
- evals/fixtures/skills/sample-with-evals/evals/cases/add-todo.yaml 272 B
- evals/fixtures/skills/sample-with-evals/evals/eval.yaml 255 B
- evals/fixtures/skills/sample-with-evals/SKILL.md 611 B
- README.md 919 B
- README.zh.md 944 B
- references/case-yaml.md 3.7 KB
- references/cli.md 8.2 KB
- references/eval-yaml.md 6.8 KB
- references/install.md 2.0 KB
- references/judge-types.md 3.0 KB
- references/migrate-anthropic.md 1.9 KB
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.
- 2d ago First seen · 243 lines · 130 tokens per session scan C a4d816d3d641
skill-upper is a skill published in the GitHub repository alibaba/skill-up (757 stars, last pushed 6d ago), licensed Apache-2.0. It adds 130 tokens to every session and 3,154 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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