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BD 2ryun-api-cn

当用户想导入文档、构建知识库、搜索结构化知识、从内容生成网页或发布内容时使用。当用户提到 2Ryun、第二现实、知识库、文档管理、知识图谱、网页、发布时使用。2Ryun 是 AI 时代的知识/内容平台，文档启用知识提取后自动在后台完成提取、组织、关联——Agent 的职责是判断哪些文档应进入知识库、哪些不应进入。

ClawHub Agent Skills author: iguoguo v0.1.0 MIT-0 4 files body ≈ 2 010 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

当用户想导入文档、构建知识库、搜索结构化知识、从内容生成网页或发布内容时使用。当用户提到 2Ryun、第二现实、知识库、文档管理、知识图谱、网页、发布时使用。2Ryun 是 AI 时代的知识/内容平台，文档启用知识提取后自动在后台完成提取、组织、关联——Agent 的职责是判断哪些文档应进入知识库、哪些不应进入。

As a process D 44/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
95
Quality 40%
72
Run on models
none yet
Process rating
D
44/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 5

✓ No critical or high findings

Medium and low: 5
  • low Exfiltration net-credential-use SKILL.md:78
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    curl "https://www.…iki/restapi/documents/:id" -H "Authorization: Bearer $API_KEY"
    vendor-host
  • low Exfiltration net-credential-use SKILL.md:106
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    curl "https://www.…iki/restapi/wiki/graph?root_id=xxx" -H "Authorization: Bearer $API_KEY"
    vendor-host
  • low Exfiltration net-credential-use SKILL.md:108
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    curl "https://www.…iki/restapi/wiki/graph/data?max_nodes=100" -H "Authorization: Bearer $API_KEY"
    vendor-host
  • low Exfiltration net-credential-use SKILL.md:116
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    curl "https://www.…iki/restapi/wiki/entries?limit=100" -H "Authorization: Bearer $API_KEY"
    vendor-host
  • low Exfiltration net-credential-use SKILL.md:118
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    curl "https://www.…iki/restapi/wiki/stats" -H "Authorization: Bearer $API_KEY"
    vendor-host

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 44/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 9 mutating operations with no state check
  • 40Consistency. Frontmatter name (2ryun-api-cn) differs from the folder (2ryun-skill-cn)
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 42 steps
  • 100Execution cost. Instruction body is 2010 tokens
  • low 10 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 157: enough signal without eating the budget
  • +4Structure: 27 headings
  • +3Step-by-step instructions: 42 items
  • +4Has examples (14 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: suspicious
The skill looks like a legitimate 2Ryun API guide, but it needs Review because it can publish content publicly and delete remote documents or files without clear confirmation safeguards.
LLM: suspicious (high) · 1 Sept 2026