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AF dropspace-content-engine

Self-improving autonomous content pipeline. Analyzes post performance across 6 platforms, generates new content with AI (slideshows, tweets, linkedin posts, reddit threads), schedules via Dropspace API. Gets smarter every night — each cycle learns from real engagement data. Use when asked to set up autonomous content posting, run the content engine, or manage multi-platform social media automation.

ClawHub Agent Skills author: JCLVSH v1.0.1 MIT-0 2 files body ≈ 745 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 38/100 · Will not run — References files that are not bundled: templates/.env.example

ProcedureInfrastructuretype 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%
99
Quality 40%
76
Run on models
none yet
Process rating
F
38/100
Will not run
References files that are not bundled: templates/.env.example
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Exfiltration read-dotenv SKILL.md:60
    Reads a .env file
    source .env

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: templates/.env.example
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "source"

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: templates/.env.example
  • 0Tools and files. 1 referenced file(s) missing: templates/.env.example
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 10 mutating operations with no state check
  • 55Failures and branches. 1 branches
  • 100Steps. 11 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 745 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 401: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 11 items
  • +4Has examples (5 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: clean
This skill openly describes an autonomous social-media posting pipeline, and its account-impacting behavior is aligned with that purpose.
LLM: benign (high) · VirusTotal: · 29 May 2026