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BB x-social-manager

Personal X/Twitter social media manager. Use when the user asks to craft, write, review, or optimize X/Twitter posts, threads, replies, or DMs. Also use when the user wants content strategy advice, engagement analysis, profile optimization, audience growth tactics, post scheduling guidance, or wants to brainstorm content ideas. Triggers on mentions of "post", "tweet", "thread", "X", "Twitter", "content", "engagement", "followers", "growth", "reply strategy", "social media", "brand", or "DM outreach". Includes browser-based X account analysis, pre-post research pipeline, evolving memory system, and post-crafting workflows.

ClawHub Agent Skills author: Hossain Jahed v1.0.0 MIT-0 15 files body ≈ 9 331 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process B 67/100 · Nearly there — weak spots: result and completion, consistency, execution cost

ProcedureMarketingInfrastructuretype 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
B
88/100
safety, quality, tests
Safety 60%
93
Quality 40%
81
Run on models
none yet
Process rating
B
67/100
Nearly there
Result and completion w 14
0
Consistency w 8
40
Execution cost w 6
40
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 3

✓ No critical or high findings

Medium and low: 3
  • medium Broad scope meta-agent-memory-dump references/memory.md
    Agent memory / workspace files bundled with the skill (1) — likely a workspace dump with personal data or tokens
    references/memory.md
  • low Secrets in code secret-high-entropy-token README.md:3
    High-entropy token-like string (may be an id, hash or a credential)
    [![skills.sh](https://img.shields.io/badge/npx%20sk…add%20rabden%2FX-…ack?style=…&logo=npm)](https://github.com/rabden/X-twitter-social-manager-skill)
  • low Dangerous commands cmd-pipe-to-shell-known-host SKILL.md:47
    Pipe-to-shell installer from a well-known host (still executes remote code) (quoted — discussed, not commanded)
    - If `uv` is NOT available, install it first: `curl -LsSf https://astral.sh/uv/install.sh | sh` then `uv tool install twitter-cli`
    quoted

Files scanned: 15. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 9331 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "authors"
  • note frontmatter-key unknown frontmatter key "repository"

Process rating: all ten parameters 67/100

  • 0Result and completion. Does not say what the result is
  • 40Consistency. Frontmatter name (x-social-manager) differs from the folder (x-social-manager-dist)
  • 40Execution cost. Instruction body is 9331 tokens: crowds the task out of the window
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 298 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 22 branches, has a failure section
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 12 top-level sections: this looks like several domains in one skill
  • low The skill ranks results itself: that belongs to the system behind the tool, not the model

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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 9 example trigger phrases
  • +3Description length 629: enough signal without eating the budget
  • +4Structure: 45 headings
  • +3Step-by-step instructions: 298 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (12 of 12)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: suspicious
This X/Twitter manager is coherent, but it asks for account-level authority, automatic setup, persistent profiling, and local agent changes that users should review carefully.
LLM: suspicious (high) · VirusTotal: · 29 May 2026