SKILLEMALL.ai

AC dida365-openapi

基于滴答清单(Dida365)官方 OpenAPI 和 OAuth2 的任务管理 Skill,直连 dida365.com,不经过任何第三方服务,你的数据只在本地和滴答清单服务器之间传输。零第三方依赖,纯 Python 标准库实现。完整覆盖项目与任务的增删改查、完成、移动、筛选,支持标签、提醒、重复规则等丰富功能,并内置输入验证和灰色区域防护,确保每次 API 调用都安全可靠。详细文档与同类 Skill 对比见 GitHub:https://github.com/workingcoder/dida365-openapi 。Use when the agent needs to manage Dida365 tasks, projects, tags, reminders, or repeat rules through the official OpenAPI.

ClawHub Agent Skills author: workingcoder v1.0.0 MIT-0 15 files body ≈ 1 465 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

IntegrationGitHubSoftware developmentInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
C
53/100
Has gaps
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

    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 · 0

    ✓ No critical or high findings

    Files scanned: 15. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 53/100

    • 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
    • 30Running it twice. 5 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 55Failures and branches. 1 branches
    • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
    • 100Steps. 53 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1465 tokens

    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
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 386: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 53 items
    • +4Reference files are cited in the instructions (3 of 3)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    This is a disclosed Dida365 task-management skill that can read and change tasks after OAuth login, with no hidden or unrelated behavior found.
    LLM: benign (high) · VirusTotal: · 29 May 2026