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BD dida365

滴答清单 (Dida365) API 集成，支持自建 OAuth 认证。管理任务和项目。 当用户想要在滴答清单中创建、更新、完成或组织任务和项目时使用此 Skill。 需要用户在 developer.dida365.com 创建应用并配置 DIDA365_CLIENT_ID、DIDA365_CLIENT_SECRET 环境变量。

ClawHub Agent Skills author: imchongliu v1.0.0 MIT-0 2 files body ≈ 2 652 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process D 41/100 · 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
87/100
safety, quality, tests
Safety 60%
98
Quality 40%
70
Run on models
none yet
Process rating
D
41/100
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Exfiltration net-credential-use SKILL.md:491
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    curl -s -H "Authorization: Bearer $TOKEN" https://api.…com/open/v1/project | python3 -m json.tool
    vendor-host
  • low Exfiltration net-credential-use SKILL.md:532
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    curl -s -o /dev/null -w "%{http_code}" -H "Authorization: Bearer $TOKEN" https://api.…com/open/v1/project
    vendor-host

Files scanned: 2. 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 41/100

  • 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
  • 40Consistency. Frontmatter name (dida365) differs from the folder (dida365-api)
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 100Steps. 27 steps
  • 100Execution cost. Instruction body is 2652 tokens
  • 100Running it twice. No mutating operations
  • 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
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 165: enough signal without eating the budget
  • +4Structure: 31 headings
  • +3Step-by-step instructions: 27 items
  • +4Has examples (27 code blocks)

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

External checks

ClawHub: clean
This is a transparent Dida365 task-management integration guide with disclosed OAuth setup and task/project read-write access.
LLM: benign (high) · VirusTotal: · 29 May 2026