SKILLEMALL.ai
GitHub ↗ RU Sign in

BF multi-agent-project-builder

多 Agent 项目协作工厂 - 一键实现智能分工完成互联网项目

ClawHub Hermes author: ninetyhe v1.0.0 MIT-0 6 files body ≈ 1 013 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 30/100 · Will not run — References files that are not bundled: ../multi-agent-coordination/

ReferenceAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Hermes Agent
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
62
Run on models
none yet
Process rating
F
30/100
Will not run
References files that are not bundled: ../multi-agent-coordination/
Tools and files w 18
0
Result and completion w 14
0
When it triggers w 12
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: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when neither description nor a "## When to Use" section says when to use the skill
  • warning missing-ref reference to a missing file: ../multi-agent-coordination/

Process rating: all ten parameters 30/100

Will not run. References files that are not bundled: ../multi-agent-coordination/
  • 0Tools and files. 1 referenced file(s) missing: ../multi-agent-coordination/
  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 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
  • 60Consistency. The Hermes dialect needs category and tags
  • 100Steps. 26 steps
  • 100Execution cost. Instruction body is 1013 tokens
  • 100Running it twice. No mutating operations
  • low 10 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 32: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -5TODO / placeholder text left in the skill
  • +2Single-language instructions
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 26 items
  • +4Has examples (11 code blocks)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.

External checks

ClawHub: clean
This skill is a disclosed project-template generator for multi-agent workflows, with no evidence of hidden data access, network activity, credential use, or persistence.
LLM: benign (high) · VirusTotal: · 29 May 2026