SKILLEMALL.ai

BF huanzhi-fa-skill-pro

创始人融资必备AI顾问!一键诊断融资准备度、秒懂TS条款陷阱、模拟投资人谈判。🇨🇳 中文 | 🧠 Capital EQ | 触发:融资/条款/焦虑

ClawHub Agent Skills author: AI-innopower v2.8.6 MIT-0 19 files body ≈ 1 535 tokens Open the sourceclawhub.ai analyzed 3 d ago

创始人融资必备AI顾问!一键诊断融资准备度、秒懂TS条款陷阱、模拟投资人谈判。🇨🇳 中文 | 🧠 Capital EQ | 触发:融资/条款/焦虑

As a process F 36/100 · Will not run — References files that are not bundled: assets/screenshot-diagnosis.png, assets/screenshot-termsheet.png, assets/screenshot-capitaleq.png

ProcedureManufacturingAI and agentsFinancetype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
61
Run on models
none yet
Process rating
F
36/100
Will not run
References files that are not bundled: assets/screenshot-diagnosis.png, assets/screenshot-termsheet.png, assets/screenshot-capitaleq.png
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
This is a copy of a skill from another catalog; the rating counts the canonical one: huanzhi-fa-skill-pro (ClawHub)

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: 17. 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: assets/screenshot-diagnosis.png
  • warning missing-ref reference to a missing file: assets/screenshot-termsheet.png
  • warning missing-ref reference to a missing file: assets/screenshot-capitaleq.png
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "displayNameEn"

Process rating: all ten parameters 36/100

Will not run. References files that are not bundled: assets/screenshot-diagnosis.png, assets/screenshot-termsheet.png, assets/screenshot-capitaleq.png
  • 0Tools and files. 3 referenced file(s) missing: assets/screenshot-diagnosis.png, assets/screenshot-termsheet.png, assets/screenshot-capitaleq.png
  • 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
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (huanzhi-fa-skill-pro) differs from the folder (huanzhi-fa-skill-pro-v2-8-0)
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 46 steps
  • 100Execution cost. Instruction body is 1535 tokens
  • 100Running it twice. No mutating operations
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 15 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)
  • +3Description length 76: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -222 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 46 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (8 of 8)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.

External checks

ClawHub: suspicious
The skill is a mostly coherent fundraising advisor, but it asks for sensitive memory and follow-up authority while using broad emotional triggers and making an unsupported ClawHub audit claim.
LLM: suspicious (high) · 28 May 2026