SKILLEMALL.ai

BF touqi-todo

帮用户整理人生中重要的事:遗愿、交代、账号密码、想对谁说的话。用于用户想要记录遗愿、交代后事、整理数字遗产、给家人朋友留话、标记谁能看什么内容、回看整理进度、或者导出整理成果的场景。当用户提到死亡准备、身后事、遗书、遗嘱内容整理、账号交接、给家人留言、生前安排等话题时,应主动使用此技能。

ClawHub Agent Skills author: Ezra Y.Finn v0.1.0 MIT-0 2 files body ≈ 633 tokens Open the sourceclawhub.ai analyzed 2 d ago

帮用户整理人生中重要的事:遗愿、交代、账号密码、想对谁说的话。用于用户想要记录遗愿、交代后事、整理数字遗产、给家人朋友留话、标记谁能看什么内容、回看整理进度、或者导出整理成果的场景。当用户提到死亡准备、身后事、遗书、遗嘱内容整理、账号交接、给家人留言、生前安排等话题时,应主动使用此技能。

As a process F 35/100 · Will not run — References files that are not bundled: references/content-capture-spec.md, references/governance-spec.md, references/review-result-spec.md

ProcedurePersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
56
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: references/content-capture-spec.md, references/governance-spec.md, references/review-result-spec.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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: 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")
  • warning missing-ref reference to a missing file: references/content-capture-spec.md
  • warning missing-ref reference to a missing file: references/governance-spec.md
  • warning missing-ref reference to a missing file: references/review-result-spec.md
  • warning missing-ref reference to a missing file: references/output-spec.md
  • warning missing-ref reference to a missing file: references/interaction-tone-spec.md
  • warning missing-ref reference to a missing file: references/post-export-ux-spec.md
  • warning missing-ref reference to a missing file: references/semantic-insight-spec.md
  • warning missing-ref reference to a missing file: scripts/evaluate_thresholds.py
  • warning missing-ref reference to a missing file: scripts/sniff_candidates.py
  • warning missing-ref reference to a missing file: scripts/refilter_candidates.py
  • warning missing-ref reference to a missing file: scripts/promote_candidates.py
  • warning missing-ref reference to a missing file: scripts/build_export_bundle.py
  • warning missing-ref reference to a missing file: scripts/prepare_life_manual_pdf.py
  • warning missing-ref reference to a missing file: scripts/render_life_manual_pdf.py

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: references/content-capture-spec.md, references/governance-spec.md, references/review-result-spec.md
  • 0Tools and files. 14 referenced file(s) missing: references/content-capture-spec.md, references/governance-spec.md, references/review-result-spec.md
  • 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
  • 100Steps. 52 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 633 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 144: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 52 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.

External checks

ClawHub: suspicious
This skill has a coherent end-of-life planning purpose, but it handles extremely sensitive information like passwords and final wishes with trigger and review controls that are too loose for automatic installation.
LLM: suspicious (medium) · VirusTotal: · 26 Jun 2026