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AB linkedin-followup

Manage LinkedIn outreach leads from Google Sheets — search by name, read live conversation threads, update status, and send contextual follow-up messages. Use after linkedin-dm to move leads through the pipeline (Sent → Replied → Call Scheduled → Demo Done → Closed).

modbender/skill-library-mcp Agent Skills author: modbender MIT 3 files body ≈ 2 339 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Manage LinkedIn outreach leads from Google Sheets — search by name, read live conversation threads, update status, and send contextual follow-up messages.

As a process B 70/100 · Nearly there — weak spots: when it triggers, inputs and preconditions

ProcedureGoogle SheetsSales and CRMInfrastructureOperations and projectstype 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
90/100
safety, quality, tests
Safety 60%
94
Quality 40%
83
Run on models
none yet
Process rating
B
70/100
Nearly there
When it triggers w 12
20
Inputs and preconditions w 11
30
Tools and files w 18
60
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 · 6

    ✓ No critical or high findings

    Medium and low: 6
    • low Secrets in code secret-high-entropy-token references/sheet-schema.md:4
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      ID: `1eEZ…khM`
      quoted
    • low Secrets in code secret-high-entropy-token references/sheet-schema.md:36
      High-entropy token-like string (may be an id, hash or a credential)
      gog sheets update 1eEZ…khM "Sheet1!M1:P1" \
    • low Secrets in code secret-high-entropy-token references/sheet-schema.md:64
      High-entropy token-like string (may be an id, hash or a credential)
      gog sheets get 1eEZ…khM "Sheet1!A:P" --json
    • low Secrets in code secret-high-entropy-token references/sheet-schema.md:76
      High-entropy token-like string (may be an id, hash or a credential)
      gog sheets update 1eEZ…khM "Sheet1!J5" \
    • low Secrets in code secret-high-entropy-token references/sheet-schema.md:82
      High-entropy token-like string (may be an id, hash or a credential)
      gog sheets update 1eEZ…khM "Sheet1!J5:P5" \
    • low Secrets in code secret-high-entropy-token SKILL.md:25
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      1. **Sheet ID** — Confirm the CRM sheet ID (from `linkedin-dm` setup). Default: `1eEZ…khM`, tab: `Sheet1` (or `Outreach` if renamed).
      quoted

    Files scanned: 3. 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 70/100

    • 20When it triggers. No condition that starts the skill
    • 30Inputs and preconditions. Does not say what the process needs to start
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 100Steps. 45 steps
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2339 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress

    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)
    • -42 reference files, but SKILL.md never points to them: the model will not open them
    • +1No license
    • +2Single-language instructions
    • +3Description length 267: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 45 items
    • +3Output format is stated explicitly
    • +4Has examples (11 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.