SKILLEMALL.ai

BF agentic-services-orchestrator-skill

Coordinate schema-driven workflows across configurable domains using workflow definitions, adapters, active tracks, artifact versions, approval/risk triage, event logs, validation, and recovery actions. Use the CompleteTech LLC agentic services workflow as the default adapter for discovery, proposal, contract, delivery, customer success, invoice, certificate, case study, email, envelope, and security-review work.

ClawHub Agent Skills author: CompleteTech v1.0.3 MIT-0 20 files body ≈ 5 064 tokens Open the sourceclawhub.ai analyzed 26 h ago

Coordinate schema-driven workflows across configurable domains using workflow definitions, adapters, active tracks, artifact versions, approval/risk triage…

As a process F 46/100 · Will not run — References files that are not bundled: assets/logo.png

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
99
Quality 40%
71
Run on models
none yet
Process rating
F
46/100
Will not run
References files that are not bundled: assets/logo.png
Tools and files w 18
0
Inputs and preconditions w 11
0
When it triggers w 12
20
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Risky intent intent-offensive-security SKILL.md:109
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - Security review does not equal legal approval, formal compliance certification, or external penetration testing unless verified evidence is provided.

Files scanned: 20. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5064 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: assets/logo.png
  • note edit-residue the text marks something as outdated (lines 192): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 46/100

Will not run. References files that are not bundled: assets/logo.png
  • 0Tools and files. 1 referenced file(s) missing: assets/logo.png
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 40Result and completion. Does not say what the result is
  • 50Failures and branches. 0 branches, has a failure section
  • 70Execution cost. Instruction body is 5064 tokens
  • 100Steps. 81 steps
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • low 18 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
  • -5TODO / placeholder text left in the skill
  • +2Single-language instructions
  • +3Description length 416: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 81 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (1 of 3)
  • +3All 1 scripts are documented
  • +1License stated

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

External checks

ClawHub: clean
This is a local workflow-routing and PDF-rendering skill with clear approval boundaries and no evidence of hidden network, credential, persistence, or destructive behavior.
LLM: benign (high) · VirusTotal: · 28 May 2026