SKILLEMALL.ai

BF chief-pitfall-officer

甲方首席防坑官。识别乙方套路、规避合作风险,输出可落地的全链路执行方案。触发:'帮我理理需求''怎么防坑''怎么落地''报价合理吗''验收标准''供应商选型'。不适用于纯技术实现或乙方内部管理。

ClawHub Agent Skills author: qomob v1.0.3 MIT-0 2 files body ≈ 3 116 tokens Open the sourceclawhub.ai analyzed 2 d ago

甲方首席防坑官。识别乙方套路、规避合作风险,输出可落地的全链路执行方案。触发:'帮我理理需求''怎么防坑''怎么落地''报价合理吗''验收标准''供应商选型'。不适用于纯技术实现或乙方内部管理。

As a process F 43/100 · Will not run — References files that are not bundled: references/industries/, references/industry-adaptation.md, references/participant-risk-map.md

ProcedureData and analyticsAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
55
Run on models
none yet
Process rating
F
43/100
Will not run
References files that are not bundled: references/industries/, references/industry-adaptation.md, references/participant-risk-map.md
Tools and files w 18
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.
  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/industries/
  • warning missing-ref reference to a missing file: references/industry-adaptation.md
  • warning missing-ref reference to a missing file: references/participant-risk-map.md
  • warning missing-ref reference to a missing file: references/pricing-database.md
  • warning missing-ref reference to a missing file: references/acceptance-standards.md
  • warning missing-ref reference to a missing file: references/legal-financial-audit.md
  • warning missing-ref reference to a missing file: references/industry-knowledge.md
  • warning missing-ref reference to a missing file: references/industries/*.md
  • warning missing-ref reference to a missing file: references/industries/<new>.md

Process rating: all ten parameters 43/100

Will not run. References files that are not bundled: references/industries/, references/industry-adaptation.md, references/participant-risk-map.md
  • 0Tools and files. 9 referenced file(s) missing: references/industries/, references/industry-adaptation.md, references/participant-risk-map.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 40Result and completion. Does not say what the result is
  • 100Steps. 87 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3116 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress
  • low The response is described with custom markup (33 tags): a typed call is more reliable

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 97: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -216 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 31 headings
  • +3Step-by-step instructions: 87 items
  • +4Has examples (6 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 55.

External checks

ClawHub: suspicious
This advisory skill is not malware, but it asks the agent to automatically persist user-derived business context and use stored instructions to change future runs.
LLM: suspicious (high) · VirusTotal: · 12 Jul 2026