SKILLEMALL.ai

BF agile-workflow

全自动敏捷协作工作流引擎 v7.18.1 - 细纲串行+正文并行、并发安全架构、零数据污染、智能合并

ClawHub Agent Skills author: XBCS v7.18.1 MIT-0 80 files body ≈ 2 410 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process F 37/100 · Will not run — References files that are not bundled: /workspace/docs/agile-workflow-architecture.md, /workspace/docs/learning-system.md, /workspace/docs/troubleshooting.md

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
79/100
safety, quality, tests
Safety 60%
98
Quality 40%
51
Run on models
none yet
Process rating
F
37/100
Will not run
References files that are not bundled: /workspace/docs/agile-workflow-architecture.md, /workspace/docs/learning-system.md, /workspace/docs/troubleshooting.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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Dangerous commands cmd-cron-mention SKILL.md:163
    Mentions editing / listing crontab
    crontab -e
  • low Dangerous commands cmd-background-process SKILL.md:434
    Starts a background / autostarted process
    nohup node agile-workflow-engine.js start > engine.log 2>&1 &

Files scanned: 80. 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: /workspace/docs/agile-workflow-architecture.md
  • warning missing-ref reference to a missing file: /workspace/docs/learning-system.md
  • warning missing-ref reference to a missing file: /workspace/docs/troubleshooting.md
  • warning missing-ref reference to a missing file: scripts/task-dependency-generator.js
  • warning missing-ref reference to a missing file: scripts/repair-task-states.js

Process rating: all ten parameters 37/100

Will not run. References files that are not bundled: /workspace/docs/agile-workflow-architecture.md, /workspace/docs/learning-system.md, /workspace/docs/troubleshooting.md
  • 0Tools and files. 5 referenced file(s) missing: /workspace/docs/agile-workflow-architecture.md, /workspace/docs/learning-system.md, /workspace/docs/troubleshooting.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
  • 20When it triggers. No condition that starts the skill
  • 100Steps. 43 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2410 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress
  • 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)
  • +3Description length 50: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -269 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 51 headings
  • +3Step-by-step instructions: 43 items
  • +4Has examples (26 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 51.

External checks

ClawHub: suspicious
This workflow skill is not clearly malicious, but it can run persistent automation that starts, stops, restarts, and repairs local agents with limited user confirmation.
LLM: suspicious (high) · VirusTotal: · 29 May 2026