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Agent skill

Skillnet

by zjunlp in zjunlp/SkillNet

Search, download, create, evaluate, analyze and route reusable agent skills with SkillNet.

MITAuto-check passed

Install Skillnet

skills CLI
$ npx skills add zjunlp/SkillNet --skill skillnet -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install zjunlp/SkillNet skillnet --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skillnet .claude/skills/skillnet && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
skillnet
GitHub stars
1.4k
Token cost
~1.5k tokens
SKILL.md length
692 words
Files
10 (incl. scripts, references)
Skills in repo
122
Repo updated
First seen
Licence
MIT

At a glance

Search, download, create, evaluate, analyze and route reusable agent skills with SkillNet.

  • Turn a repo/document/trace into a skill
  • SKILL.md covers Choose the workflow, Runtime and configuration, Find and use a skill and Create and evaluate, plus 1 more section
  • Runs Python scripts from its folder; calls python
  • Assess skill quality

What it does

Skillnet is an agent skill from zjunlp/SkillNet. Search, download, create, evaluate, analyze and route reusable agent skills with SkillNet. Use when asked to find or reuse a skill, turn a repo/document/trace into a skill, assess skill quality, build a local skill graph, select skills for a task, or fill a clearly identified capability gap with a reusable skill. 中文：搜索、下载、创建、评估、分析与路由技能。不用于普通代码修改或仅阅读文档。

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts and reference files (for example `references/api-reference.md`, `references/platforms.md` and `references/routing.md`).

The repository describes itself as: Create, Evaluate, and Connect AI Skills. The licence is MIT.

When your agent uses it

  • Turn a repo/document/trace into a skill
  • Assess skill quality
  • Build a local skill graph
  • Select skills for a task

Example prompts

  • “/skillnet”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 3fcebf8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 3 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Skillnet loads about 1.5k tokens when it runs, and up to ~7.2k if it reads all its reference files. Until then it costs about 91 tokens; SKILL.md has 692 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~91
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from zjunlp/SkillNet at commit 3fcebf8, republished under its MIT licence (© zjunlp). 692 words, ~1,504 tokens.

Download SKILL.mdSave it as .claude/skills/skillnet/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.
name
skillnet
description
Search, download, create, evaluate, analyze and route reusable agent skills with SkillNet. Use when asked to find or reuse a skill, turn a repo/document/trace into a skill, assess skill quality, build a local skill graph, select skills for a task, or fill a clearly identified capability gap with a reusable skill. 中文：搜索、下载、创建、评估、分析与路由技能。不用于普通代码修改或仅阅读文档。
metadata.version
0.1.1
metadata.requirements
Python 3.10+, skillnet-ai 0.1.1+, network; model API for create/evaluate/analyze; graph extra and embedding API for analyze/route; Claude or Codex SDK for route

SkillNet

Find a useful skill, bring its complete resources into the workspace, create and evaluate reusable skills, or analyze and route a local library through the SkillNet SDK.

Choose the workflow

  • Analyze and route: build a local skill graph, then select skills for a task. Read routing.md for separate model and SDK configuration.
  • Find: search and return relevant candidates with URLs and tradeoffs.
  • Reuse or install: inspect relevant skills already available, then search → select → download → inspect → apply when the user requested its use.
  • Create: choose one source → create through SkillNet → check structure → evaluate.
  • Evaluate: evaluate the requested local skill or GitHub skill URL and explain the findings in terms of what the user wants to do.

Keep the user's original task in focus. Ordinary coding and document reading do not require a SkillNet search. An explicit creation request is sufficient reason to create a skill; it need not meet an additional complexity threshold.

Runtime and configuration

Use the installed skillnet CLI (version 0.1.1+). Prefer --json for reliable paths, URLs and error information. If the command is missing, outdated, or its interpreter is uncertain, read setup.md. python -m skillnet_ai is an alternative when using the Python environment that actually contains the SDK.

Search and public download need no model API key. Before creating or evaluating, reuse the user's existing configuration. If it is missing, read setup.md and help configure API key + model API base URL + model name once. skillnet doctor --json shows configuration sources and missing fields without revealing keys. It makes no network request unless explicitly asked.

Agent login and model API authentication are separate. Use an endpoint compatible with Chat Completions; do not extract credentials from an agent's login files.

Resources linked here are relative to the directory containing this SKILL.md, not the shell's working directory. Keep generated outputs in the user's workspace. For persistent skill installation and host discovery, read platforms.md.

Find and use a skill

Start with a focused keyword and a small result set:

text
skillnet search "pdf" --limit 5 --json

If those candidates are irrelevant, make at most one semantic query with a short description of the missing capability:

text
skillnet search "extract tables from scanned financial reports" --mode vector --limit 5 --json

Choose by task fit, dependencies and reported limitations. Stars and stored assessments are useful signals, not proof that the skill will work. With no useful candidate, report that briefly and continue the user's task.

Download the selected skill_url into a task-local folder, or the active host's skill directory when the user wants it installed:

text
skillnet download "<skill_url>" --target-dir "./downloaded_skills" --json

Use the returned data.path; do not reconstruct paths from names or table output. Download includes scripts, references and other files. Read SKILL.md, then inspect only the resources and operations relevant to the task. Use the skill within the user's authorization and the host's permissions. Loading or reading it does not require a second approval when the user already asked for its use.

An existing destination is preserved by default. Use --overwrite only when an update/replacement is intended. Do not silently delete an existing skill.

Show full SKILL.md (207 more words)Show less

Create and evaluate

Tell the user that creation includes a model-based evaluation, then run:

text
skillnet create --prompt "A skill for checking CSV headers and reporting missing columns" --output-dir "./generated_skills" --evaluate --json

Use --no-evaluate when the user explicitly wants to skip evaluation. For repository, document or trajectory input, read workflow-patterns.md. The CLI uses the real SDK, checks generated structure before evaluating, and returns paths and per-skill results. Keep SDK errors visible instead of substituting host-written output and calling it a SkillNet result.

Evaluate an existing skill with:

text
skillnet evaluate "./generated_skills/example" --json

Explain the five dimensions and actionable weaknesses. Model evaluation does not execute the skill by default and does not prove the user's task succeeds. When appropriate, exercise the skill on a small representative input and inspect the actual output. Avoid automatic regeneration loops or unrequested batch evaluations.

Results and recovery

A successful command has ok: true. A failed command exits nonzero and includes an error and, where available, partial data. If creation succeeded but evaluation failed, preserve data.paths and retry evaluation, not creation.

Report what was found/created, its real path, any validation or quality issues, and whether it was exercised on the user's task. Distinguish downloaded files, valid structure, completed model evaluation, and verified task behavior.

Read api-reference.md for flags, output fields, provider compatibility and error recovery. Read security-privacy.md when handling private inputs, credentials or unfamiliar third-party operations.

© zjunlp, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 9 other files (scripts, references) in skills/skillnet of zjunlp/SkillNet.

  • SKILL.md
  • references/api-reference.md
  • references/platforms.md
  • references/routing.md
  • references/security-privacy.md
  • references/setup.md
  • references/workflow-patterns.md
  • scripts/_skillnet_cli.py
  • scripts/skillnet_create.py
  • scripts/skillnet_validate.py

Open the folder on GitHubat commit 3fcebf8

Compare with similar skills

Skillnet next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Skillnet compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Skillnet this skillzjunlp/SkillNet1.4k—~1.5kAutomated safety check: PassMIT
Arize Evaluatorgithub/awesome-copilot40k2 repos~8.1kAutomated safety check: NotesMIT
LLM Evaluationdavila7/claude-code-templates32k13 repos~3.5kAutomated safety check: PassMIT
Agent Evaluationsickn33/agentic-awesome-skills47k1 repos~2kAutomated safety check: PassMIT
OmniRoute Routing CLIdiegosouzapw/OmniRoute74k1 repos~342Automated safety check: PassMIT
OmniRoute Combo Routingdiegosouzapw/OmniRoute74k—~2.1kAutomated safety check: PassMIT

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More from zjunlp/SkillNet

All 122 skills in this repo

  • Alfworld Environment Scanner

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  • Alfworld Receptacle Searcher

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  • Alfworld Appliance Preparer

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  • Alfworld Device Operator

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    Operates a device or appliance (like a desklamp, microwave, or fridge) to interact with another object.

    1.4k GitHub stars~916 tokensUpdated today
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  • Alfworld Heat Object With Appliance

    zjunlp/SkillNet

    Uses a heating appliance (microwave, stoveburner, oven) to apply heat to a specified object.

    1.4k GitHub stars~744 tokensUpdated today
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  • Alfworld Inventory Management

    zjunlp/SkillNet

    A skill your agent uses when the agent must collect and track multiple instances of the same object type in ALFWorld (e.g., "put two cellphone in bed").

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Questions about Skillnet

What does Skillnet do?

Search, download, create, evaluate, analyze and route reusable agent skills with SkillNet. Skillnet is an agent skill from zjunlp/SkillNet. Search, download, create, evaluate, analyze and route reusable agent skills with SkillNet.

When should I use Skillnet?

Skillnet fits situations like: turn a repo/document/trace into a skill; assess skill quality; build a local skill graph; select skills for a task.

How do I install Skillnet in Claude Code?

Run `npx skills add zjunlp/SkillNet --skill skillnet -a claude-code`. Or copy the skill folder (skills/skillnet in zjunlp/SkillNet) into .claude/skills/skillnet in your project. Claude Code loads it when a task matches its description.

How do I install Skillnet in Codex?

Run `npx skills add zjunlp/SkillNet --skill skillnet -a codex`. Or copy the skill folder (skills/skillnet in zjunlp/SkillNet) into .agents/skills/skillnet in your project. Codex loads it when a task matches its description.

Can I use Skillnet in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add zjunlp/SkillNet --skill skillnet -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skillnet, .gemini/skills/skillnet, .github/skills/skillnet and .opencode/skills/skillnet in your project.

What does Skillnet need to run?

Going by SKILL.md and its folder, Skillnet needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Skillnet access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Skillnet safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Skillnet use?

Skillnet is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Skillnet use?

About 1.5k tokens (SKILL.md is roughly 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.7k tokens, read only when the agent opens those files.

What are the alternatives to Skillnet?

Skills that share tags, products or a category with Skillnet: Arize Evaluator (github/awesome-copilot, 40k stars), LLM Evaluation (davila7/claude-code-templates, 32k stars), Agent Evaluation (sickn33/agentic-awesome-skills, 47k stars) and OmniRoute Routing CLI (diegosouzapw/OmniRoute, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skillnet?

zjunlp (a GitHub organization) maintains it in zjunlp/SkillNet, which has 1,393 GitHub stars. The repository holds 122 skills in this directory. The repository was last updated on October 7, 2026.

Source: zjunlp/SkillNet on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.