SKILLEMALL.ai

AB Collaborate

Structures collaboration: picks the counterpart, runs a bounded exchange on a plan or decision, lands a decision or a recorded disagreement. Use when a plan needs critique, red-teaming, or a devil's advocate before commitment, when giving or asking for a second opinion, design review, or feedback on a draft, when a review thread keeps looping without anyone changing position, when a group review or pairing session needs structure, or when choosing between collaborating, delegating, and working solo. Not for routing specified work to sub-agents — that is delegation.

ClawHub Agent Skills author: Iván v1.0.3 MIT-0 16 files body ≈ 3 361 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 77/100 · Nearly there — weak spots: inputs and preconditions, running it twice

AnalyzerInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
B
77/100
Nearly there
Inputs and preconditions w 11
0
Running it twice w 4
30
When it triggers w 12
50
the three weakest of ten parameters · all ten

How to improve

    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: 16. 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)
    • note frontmatter-key unknown frontmatter key "slug"
    • note frontmatter-key unknown frontmatter key "changelog"
    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 77/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 6 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 70Failures and branches. 8 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 44 steps
    • 100Result and completion. Output format and completion criterion are stated
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3361 tokens
    • 100Progress reporting. Reports progress
    • low 12 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
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 571: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 44 items
    • +3Output format is stated explicitly

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

    External checks

    ClawHub: clean
    This skill provides disclosed collaboration and decision-recording guidance, with a manageable privacy consideration around its default local decision log.
    LLM: benign (high) · VirusTotal: · 26 Jul 2026