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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。

75

Quality

92%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

92%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is a well-engineered operational guide: executable commands for every workflow, explicit validation and error-recovery guidance, and a clean one-level reference structure that keeps the overview lean. Its only shortcoming is minor redundancy (repeated setup.md pointers and a few policy sentences that could be consolidated).

Suggestions

Consolidate the three separate setup.md links into a single configuration section to trim repeated navigation text (conciseness).

Move the credential/authentication policy sentences ("Agent login and model API authentication are separate... do not extract credentials") into security-privacy.md or setup.md and keep one pointer line in the body (conciseness).

DimensionReasoningScore

Conciseness

The body is dense with operational guidance and avoids explaining concepts Claude already knows, but a few spots could be trimmed: setup.md is linked three separate times and policy sentences like "Agent login and model API authentication are separate" could be folded into the setup reference. Not 5 due to these minor instances of repetition; not 3 because there is no padding or unnecessary explanation anywhere.

4 / 5

Actionability

Every workflow ships a copy-paste-ready command with real flags — `skillnet search "pdf" --limit 5 --json`, `skillnet download "<skill_url>" --target-dir ... --json`, `skillnet create --prompt ... --evaluate --json`, `skillnet evaluate ... --json` — covering the common cases for all five workflows. Not 4 because the commands are complete and executable with no gaps in the happy paths.

5 / 5

Workflow Clarity

Sequencing is explicit ("search → select → download → inspect → apply"), validation checkpoints are present (`skillnet doctor --json` for config, structure check before evaluation, exercising the skill on representative input), and the Results and recovery section gives a concrete feedback loop ("If creation succeeded but evaluation failed, preserve `data.paths` and retry evaluation, not creation"). Destructive risk on `--overwrite` is explicitly guarded ("Do not silently delete an existing skill"). Matches the top anchor including error-recovery loops.

5 / 5

Progressive Disclosure

The ~115-line body is a clear overview with well-signaled, one-level-deep references — routing.md, setup.md, platforms.md, workflow-patterns.md, api-reference.md, security-privacy.md — all of which exist and none of which chain to further reference files; the scripts/ files are surfaced through workflow-patterns.md rather than orphaned. Content is appropriately split and easy to navigate.

5 / 5

Total

19

/

20

Passed

Description

92%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description: concrete action verbs, an explicit and multi-trigger "Use when" clause in both English and Chinese, and a clearly bounded niche around the agent-skill lifecycle. The only weakness is that a handful of natural synonyms (install, discover, skill library) are missing from the trigger set.

DimensionReasoningScore

Specificity

The description lists six concrete actions — "Search, download, create, evaluate, analyze and route reusable agent skills" — giving comprehensive coverage of the tool's capability surface rather than generic domain language. Not 4 because no meaningful action in the domain is left uncovered; not below because every action is specific and executable-sounding.

5 / 5

Completeness

It explicitly answers both parts: the "what" ("Search, download, create, evaluate, analyze and route reusable agent skills with SkillNet") and a concrete "when" clause ("Use when asked to find or reuse a skill, ... or fill a clearly identified capability gap"), with the Chinese line adding negative scope ("不用于普通代码修改或仅阅读文档"). It clearly matches the top anchor with concrete trigger phrases.

5 / 5

Trigger Term Quality

Trigger phrases like "find or reuse a skill", "turn a repo/document/trace into a skill", "assess skill quality", "build a local skill graph", and "fill a clearly identified capability gap" map well to what a user would naturally say, plus a Chinese variant. Not 5 because common synonyms such as "install a skill", "discover skills", or "skill library/marketplace" are absent; not 3 because coverage goes well beyond a few generic keywords.

4 / 5

Distinctiveness Conflict Risk

The "reusable agent skills" niche with the SkillNet name and skill-lifecycle-specific triggers (create from repo/trace, build skill graph, fill capability gap) is distinct from generic coding or document skills, and the explicit exclusion of ordinary code modification further reduces false triggers. Minimal overlap risk with other skills.

5 / 5

Total

19

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
zjunlp/SkillNet
Reviewed

Table of Contents

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