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skillnet

Search, download, create, evaluate, and analyze reusable agent skills via SkillNet — the open skill supply chain for AI agents. Use when: (1) Before any multi-step task — search SkillNet for existing skills first, (2) User says "find a skill", "learn this repo/doc", "turn this into a skill", or mentions skillnet, (3) User provides a GitHub URL, PDF, DOCX, PPT, execution logs, or trajectory — create a skill from it, (4) After completing a complex task with non-obvious solutions — create a skill to preserve learnings, (5) User wants to evaluate skill quality, organize/analyze a local skill library, or orchestrate a supported scene. NOT for: single trivial operations (rename variable, fix typo), or tasks with no reusable knowledge.

76

Quality

96%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

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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 tightly organized, highly actionable workflow with explicit validation checkpoints, feedback loops, and clean one-level-deep references to real bundle files. Its only weakness is occasional motivational prose that pads the token budget without adding executable value.

Suggestions

Trim motivational commentary in the 'Core Principle' and 'Pragmatic note' sections (e.g. 'the worst outcome is no results and you lose nothing') to recover tokens without losing actionable guidance.

Consolidate the repeated user-confirmation reminders (they appear in Step 2, Apply, In-Task Triggers, and Security Essentials) into a single stated policy referenced once, to reduce redundancy.

Move the environment-variable defaults table and the orchestration extra detail into references/api-reference.md, keeping the body focused on the search-apply-create cycle.

DimensionReasoningScore

Conciseness

Mostly efficient with concrete commands throughout, but includes motivational prose ("The search is free, instant, and zero-risk; the worst outcome is 'no results' and you lose nothing", "Not every task deserves a skill") that could be trimmed without losing actionable content.

4 / 5

Actionability

Provides copy-paste-ready executable commands for every common case — `skillnet search "langgraph" --limit 5`, `skillnet download`, `skillnet create --github`, `skillnet evaluate`, `skillnet analyze` — with concrete flags and arguments.

5 / 5

Workflow Clarity

Multi-step process is clearly sequenced (Pre-Task Search → Download/Load/Apply → Capabilities) with explicit validation checkpoints (post-download review, user confirmation, evaluate-after-create) and feedback loops (fast-fail rule, dedup table); destructive/batch operations like skill removal route through .trash with confirmation, so the validation cap does not apply.

5 / 5

Progressive Disclosure

SKILL.md is a well-structured overview with a Resource Navigation table mapping each need to a real one-level-deep bundle file (api-reference.md, workflow-patterns.md, security-privacy.md, skillnet_create.py, skillnet_validate.py), all of which exist in the bundle.

5 / 5

Total

19

/

20

Passed

Description

100%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.

The description is exemplary: third-person voice, concrete actions, comprehensive natural trigger terms with file extensions, and explicit what/when guidance plus a NOT-for boundary. It matches the top anchor on every dimension with no verbosity or over-claiming.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions — "Search, download, create, evaluate, and analyze reusable agent skills" — giving comprehensive coverage of the skill's capabilities rather than vague domain naming.

5 / 5

Completeness

Explicitly answers both what ("Search, download, create, evaluate, and analyze...") and when via a numbered "Use when:" clause with five concrete trigger scenarios, plus a "NOT for:" boundary.

5 / 5

Trigger Term Quality

Comprehensive natural-term coverage including synonyms and file extensions: "find a skill", "learn this repo/doc", "turn this into a skill", "skillnet", GitHub URL, PDF, DOCX, PPT, "execution logs, or trajectory".

5 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (skill supply chain for AI agents) with distinct triggers and an explicit "NOT for" exclusion clause, minimizing overlap with unrelated skills.

5 / 5

Total

20

/

20

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

Total

14

/

16

Passed

Repository
zjunlp/SkillNet
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.