SKILLEMALL.ai

AC content-audit

Audit an existing social media account and its content — the retrospective reality-check of what's working and what isn't. Use when someone wants to "audit my content/account," "what's working and what isn't," "clean up my profile/feed," "I post a lot but it's not working," or to triage an existing account before replanning. Produces a keep/kill/refresh triage, maps pillar coverage, catches voice drift, and fixes profile fundamentals — then a quick-wins-vs-long-term roadmap. Uses the AUDIT framework. Reads brand-profile + content-pillars + social-strategy (the plan) and analytics-and-reporting (the data) first. It reads native analytics (WoopSocial has none), scores on signal not vanity, recommends rather than auto-deletes, and never fabricates. Feeds content-recycling, content-pillars, profile-optimization, voice-builder, and social-strategy. Distinct from analytics-and-reporting (ongoing measurement) and competitor-analysis (rivals).

ClawHub Agent Skills author: Social Media Skills v1.0.0 MIT-0 7 files body ≈ 1 197 tokens Open the sourceclawhub.ai analyzed 2 d ago

Audit an existing social media account and its content — the retrospective reality-check of what's working and what isn't.

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
C
56/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
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: 0. 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 56/100

    • 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. 3 mutating operations with no state check
    • 40Result and completion. Does not say what the result is
    • 100Tools and files. No external tools needed
    • 100Steps. 13 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1197 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)
    • +3Description length 949: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 4 example trigger phrases
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 13 items
    • +4Reference files are cited in the instructions (4 of 4)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: clean
    This skill is a disclosed social-content audit workflow that reads user-provided account analytics and recommends changes without taking action itself.
    LLM: benign (high) · VirusTotal: · 22 Jul 2026