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BA ogp-agent-comms

Interactive wizard to configure agent-to-agent communication policies (updated for multi-framework `--for` workflows, OGP 0.2.24+ peer identity, and 0.2.28+ multi-agent routing)

ClawHub Agent Skills author: latentgenius v0.6.0 MIT-0 2 files body ≈ 3 492 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process A 82/100 · Runs to the end — weak spots: when it triggers

ProcedureAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
55
Run on models
none yet
Process rating
A
82/100
Runs to the end
When it triggers w 12
20
Result and completion w 14
60
Inputs and preconditions w 11
70
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • error name-missing SKILL.md: frontmatter has no `name`
    • note frontmatter-key unknown frontmatter key "skill_name"
    • note frontmatter-key unknown frontmatter key "trigger"

    Process rating: all ten parameters 82/100

    • 20When it triggers. No condition that starts the skill
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 43 steps
    • 100Failures and branches. 4 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3492 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • low 11 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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 177: enough signal without eating the budget
    • +4Structure: 37 headings
    • +3Step-by-step instructions: 43 items
    • +3Output format is stated explicitly
    • +4Has examples (31 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 55.

    External checks

    ClawHub: clean
    This skill is a disclosed setup guide for agent-to-agent communication policies, with sensitive settings users should configure carefully.
    LLM: benign (high) · VirusTotal: · 29 May 2026