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AF social-ops

Role-based social media operations skill. Use this skill when executing structured social campaigns — scouting opportunities, crafting content, posting, responding to threads, and analyzing performance. Designed for Moltbook engagement but adaptable to any platform and persona. Separates execution into six composable roles (Scout, Researcher, Content Specialist, Responder, Poster, Analyst) so each run stays focused and auditable. Activate this skill for any social ops task: opportunity detection, content pipeline management, community engagement, or performance review.

ClawHub Agent Skills author: Doug Smith v0.0.13 17 files · 1 script body ≈ 1 160 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 33/100 · Will not run — References files that are not bundled: scripts/install-cron-jobs.sh

ProcedureInfrastructureMarketingtype 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
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: scripts/install-cron-jobs.sh
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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: 17. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/install-cron-jobs.sh

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: scripts/install-cron-jobs.sh
  • 0Tools and files. 1 referenced file(s) missing: scripts/install-cron-jobs.sh
  • 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
  • 100Steps. 12 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1160 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

  • +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
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +3Description length 575: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 12 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (1 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: suspicious
This is a coherent social-media automation skill, but it can create recurring jobs that post, reply, use account credentials, and read local reference files with limited approval controls.
LLM: suspicious (high) · VirusTotal: suspicious · 28 May 2026