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BD joplin-api

通过 Joplin Data API（Clipper Server）查询和管理笔记、笔记本、标签。支持本地直连和 SSH 远程两种模式。包含读写删全部操作，写/删需用户确认。触发词："查 Joplin"、"Joplin 笔记"、"joplin search"、"create note in joplin" 等。

ClawHub Agent Skills author: yangyangupday v1.4.1 MIT-0 5 files · 1 script body ≈ 1 267 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationInfrastructuretype 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%
94
Quality 40%
74
Run on models
none yet
Process rating
D
39/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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 · 6

✓ No critical or high findings

Medium and low: 6
  • low Exfiltration exfil-secret-in-url references/api-docs.md:178
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    "http://loca…184/resources?token=…"
    placeholder
  • low Exfiltration exfil-secret-in-url references/api-docs.md:186
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    "http://loca…184/resources/RESOURCE_ID?token=…"
    placeholder
  • low Exfiltration exfil-secret-in-url references/api-docs.md:193
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    "http://loca…184/resources/RESOURCE_ID?token=…"
    placeholder
  • low Exfiltration read-dotenv scripts/joplin.py:24
    Reads a .env file (quoted — discussed, not commanded)
    print(f"Error: {path} not found. Copy .env.example to .env and set api_token.", file=sys.stderr)
    quoted
  • low Exfiltration read-dotenv scripts/joplin.sh:13
    Reads a .env file (quoted — discussed, not commanded)
    echo "Error: $ENV_FILE not found. Copy .env.example to .env and set api_token." >&2
    quoted
  • low Exfiltration read-dotenv SKILL.md:24
    Reads a .env file
    cp .env.example .env

Files scanned: 5. 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 39/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 7 mutating operations with no state check
  • 40Consistency. Frontmatter name (joplin-api) differs from the folder (joplin-api-china)
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 100Steps. 33 steps
  • 100Execution cost. Instruction body is 1267 tokens
  • low The response is described with custom markup (8 tags): a typed call is more reliable

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • -41 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 156: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 33 items
  • +4Has examples (14 code blocks)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: clean
This is a disclosed Joplin note-management skill with sensitive but purpose-aligned read, write, delete, token, and optional SSH behavior.
LLM: benign (medium) · VirusTotal: · 22 Jun 2026