SKILLEMALL.ai

BF presend-deliverable-inspector

对 PPT、Word、PDF、Excel、邮件、汇报稿和多附件包做发送前最终审核(pre-send review / send-readiness check / final QA),专门判断整套材料现在能不能发。区别于 Office 文件制作、编辑、转换,单纯 PPT 版式检查,通用 document review / report review 和单点 fact check:本 Skill 先读取当前指令、必要对话前文、收件人、目标动作、截止时间和材料阶段,再给出‘可以发送 / 快改后发送 / 暂缓发送 / 重做后再发’判定;重点发现跨页与跨附件数字冲突、指标口径、来源与证据强度、结论越界、隐藏页/备注/批注/旧版本、隐私承诺和决策缺口。仅在用户明确要求‘能不能发’‘发前检查’‘最终审核’‘出街体检’‘帮我检查这个PPT’‘明天发老板/客户’‘final QA’,或在‘PPT review’‘document review’‘report review’请求中带有发送、提交、汇报或发布意图时触发;不要因仅出现 PPT、Word、PDF 或 Excel 而触发。输出必须改、可以保留、未核验项及 30 分钟修复路线。不得自动发送、编造来源、覆盖原文件或替用户作出承诺。

ClawHub Agent Skills author: Snakeyi v1.0.0 MIT-0 16 files body ≈ 1 260 tokens Open the sourceclawhub.ai analyzed 2 d ago

对 PPT、Word、PDF、Excel、邮件、汇报稿和多附件包做发送前最终审核(pre-send review / send-readiness check / final QA),专门判断整套材料现在能不能发。区别于 Office 文件制作、编辑、转换,单纯 PPT 版式检查,通用 document…

As a process F 35/100 · Will not run — References files that are not bundled: scripts/inspect_deliverable.py, scripts/render_inspection_report.py, references/release-readiness-gate.md

AnalyzerData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
64
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: scripts/inspect_deliverable.py, scripts/render_inspection_report.py, references/release-readiness-gate.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: 0. 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: scripts/inspect_deliverable.py
  • warning missing-ref reference to a missing file: scripts/render_inspection_report.py
  • warning missing-ref reference to a missing file: references/release-readiness-gate.md
  • warning missing-ref reference to a missing file: scripts/assess_release_readiness.py
  • warning missing-ref reference to a missing file: scripts/run_regression_suite.py

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: scripts/inspect_deliverable.py, scripts/render_inspection_report.py, references/release-readiness-gate.md
  • 0Tools and files. 5 referenced file(s) missing: scripts/inspect_deliverable.py, scripts/render_inspection_report.py, references/release-readiness-gate.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. 40 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1260 tokens
  • 100Running it twice. No mutating operations
  • low 14 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 542: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 40 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (5 of 6)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: clean
This skill is a coherent pre-send document checker that inspects business materials for send-risk issues, with no evidence of hidden exfiltration, destructive behavior, or unsafe persistence.
LLM: benign (high) · VirusTotal: · 15 Jul 2026