SKILLEMALL.ai

AB pitch-follow-up-tracker

Track outreach pitches and draft contextual follow-up emails. Monitors a pitch tracker (Google Sheet or local markdown), checks Gmail for replies, flags stale pitches, and drafts tiered follow-ups (Day 3, Day 7, Day 14) that reference the original pitch content. Use when you need to check on pitch follow-ups, draft follow-up emails, review outreach status, find pitches without replies, or manage an outreach pipeline. Triggers on: 'check follow-ups,' 'who hasn't replied,' 'draft follow-ups,' 'outreach status,' 'pitch tracker,' 'stale pitches,' or any request to manage pitch/outreach follow-up.

ClawHub Agent Skills author: alexa853 v1.0.0 MIT-0 3 files body ≈ 2 106 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 70/100 · Nearly there — weak spots: result and completion, progress reporting

GeneratorGmailGoogle SheetsSales and CRMtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
B
70/100
Nearly there
Result and completion w 14
0
Progress reporting w 2
0
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 · 0

    ✓ No critical or high findings

    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

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 60Tools and files. Uses tools (read) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 23 steps
    • 100Failures and branches. 5 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2106 tokens
    • 100Running it twice. Mutating operations check current state

    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
    • +1No license
    • +2Single-language instructions
    • +3Description length 599: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 23 items
    • +4Has examples (15 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: suspicious
    This skill is useful for pitch follow-ups, but it asks an agent to inspect sensitive Gmail, drafts, full threads, and possibly memory or off-channel context more broadly than users may expect.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026