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AD gtm-skill-packs

Full B2B GTM skill suite for iCustomer Audience Loop. Covers ICP definition, account research, lead scoring (FIRE framework), prospecting, meeting prep, outbound strategy, and inbound routing. Use when any GTM task is requested. Triggers: "help me define our ICP," "research this account," "score this lead," "build a prospect list," "prep me for my call," "write a cold email," "build an outbound campaign," "design our inbound motion," "who should I target," "qualify this account," "rank my pipeline."

ClawHub Agent Skills author: davidslavich v1.0.0 MIT-0 9 files body ≈ 448 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process D 36/100 · Unfinished process — weak spots: steps, result and completion, when it triggers

ProcedureSales and CRMInfrastructuretype 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
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
D
36/100
Unfinished process
Steps w 15
0
Result and completion w 14
0
Inputs and preconditions w 11
0
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: 9. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 36/100

    • 0Steps. Prose only: no discrete steps
    • 0Result and completion. Does not say what the result is
    • 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
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 1 mutating operations with no state check
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 448 tokens

    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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3No numbered steps or checklist
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +2Single-language instructions
    • +5Description quotes 11 example trigger phrases
    • +3Description length 504: enough signal without eating the budget
    • +4Structure: 3 headings
    • +4Reference files are cited in the instructions (7 of 7)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: suspicious
    This GTM skill is mostly coherent, but it can direct agents to sync prospect data into external ad and outreach tools without clear approval or rollback controls.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026