SKILLEMALL.ai

BD deal-closer

产学研合作推进与落地决策引擎。当用户提交会议纪要、合作进展、对接记录,要求分析下一步、推进合作、判断成单概率、写跟进话术时触发。核心不是提醒,而是决策:基于会议内容推断对方真实需求、判断合作阶段与概率、给出最优策略动作和可直接使用的跟进话术。适用于钉钉听记/飞书妙记等会议纪要的结构化分析。配合 industry-signal-monitor(发现线索)和 industry-research(深度调研)形成完整链路。

ClawHub Agent Skills author: zhangxiaopeng-zgci v1.0.0 MIT-0 4 files body ≈ 480 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
D
49/100
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: 4. 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 49/100

  • 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 (deal-closer) differs from the folder (zhongguancun-deal-closer)
  • 100Tools and files. No external tools needed
  • 100Steps. 24 steps
  • 100Execution cost. Instruction body is 480 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
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +3Description length 209: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 24 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: clean
This is a Markdown-only business meeting analysis skill that drafts partnership follow-ups and does not request system access, credentials, or automatic sending.
LLM: benign (high) · VirusTotal: · 29 May 2026