SKILLEMALL.ai

BF dev_team

Orchestrate a multi-agent dev/agency team with shared memory, handoffs, and OpenClaw sessions. Use when (1) First-time onboarding — follow references/OPENCLAW_TEAM_SETUP_GUIDE.md (guided variables + master prompt) and references/SKILL-SETUP.md, (2) Running specialized agents (PM, dev, QA, security) on customer or Shopware tasks, (3) Setting up shared team folders and SOUL.md identities, (4) sessions_spawn/sessions_send or control channels (e.g. Telegram), (5) Solo-founder multi-agent pattern from awesome-openclaw-usecases.

ClawHub Agent Skills author: realM1lF v1.0.1 MIT-0 13 files body ≈ 6 999 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 40/100 · Will not run — References files that are not bundled: ../agent-team-orchestration-1.0.0/SKILL.md

ReferenceTelegramAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
F
40/100
Will not run
References files that are not bundled: ../agent-team-orchestration-1.0.0/SKILL.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  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: 13. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning body-long SKILL.md body ≈ 6999 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: ../agent-team-orchestration-1.0.0/SKILL.md

Process rating: all ten parameters 40/100

Will not run. References files that are not bundled: ../agent-team-orchestration-1.0.0/SKILL.md
  • 0Tools and files. 1 referenced file(s) missing: ../agent-team-orchestration-1.0.0/SKILL.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 15 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 40Consistency. Frontmatter name (dev_team) differs from the folder (dev-team)
  • 50When it triggers. No condition that starts the skill
  • 70Failures and branches. 8 branches
  • 70Execution cost. Instruction body is 6999 tokens
  • 85Steps. 61 steps, 1 vague phrases
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 11 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (23 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)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +3Description length 528: enough signal without eating the budget
  • +4Structure: 39 headings
  • +3Step-by-step instructions: 61 items
  • +4Has examples (10 code blocks)
  • +4Reference files are cited in the instructions (7 of 7)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: clean
This is a documentation-only skill for organizing multi-agent development work with shared project folders and handoff files, with the main risks disclosed and aligned to that purpose.
LLM: benign (high) · VirusTotal: · 29 May 2026