SKILLEMALL.ai

BD dida-coach

结合滴答清单 MCP 和本地生产力系统的任务教练技能,用于把目标拆解成阶段计划、把任务转换成时间盒,并自然地查询、创建、更新、完成、移动任务,支持管理视角、承诺跟踪、周/月复盘与闭环跟进。用户提到“拆目标”“做计划”“时间盒”“复盘”“改时间”“提醒”“拖延”“查任务”“完成任务”“清单管理”“生产力系统”“承诺”“等待项”时使用。

ClawHub Agent Skills author: siyuanfeng636-cpu v1.2.0 MIT-0 38 files body ≈ 1 020 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
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 · 0

✓ No critical or high findings

Files scanned: 37. 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 (dida-coach) differs from the folder (dida365-coach-skills)
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 53 steps
  • 100Execution cost. Instruction body is 1020 tokens
  • 100Running it twice. No mutating operations

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
  • -2localhost URLs: will not work for another user
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 167: enough signal without eating the budget
  • +4Structure: 5 headings
  • +3Step-by-step instructions: 53 items
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: suspicious
The skill mostly matches a Dida/TickTick task coach, but it deserves review because it can modify tasks and local agent configuration, store OAuth secrets in plaintext, and uses broad automatic routing.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026