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BF dance-agentic-engineer

Complete agentic dance engineering system for Krump: automated posts, community engagement, league tracking, and portfolio building (969 repos). Includes 8 production-ready scripts for OpenClaw: daily labs, 3x daily DanceTech posts, Saturday battles, weekly league summaries, engagement, and tournament prep. Set up via OpenClaw cron; all scripts load .env credentials and post to Moltbook.

ClawHub Agent Skills author: Arun Nadarasa v1.0.8 18 files body ≈ 2 931 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 42/100 · Will not run — References files that are not bundled: scripts/tools/pre-commit-security, scripts/*.js

IntegrationGitHubAI and agentstype 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
80/100
safety, quality, tests
Safety 60%
97
Quality 40%
54
Run on models
none yet
Process rating
F
42/100
Will not run
References files that are not bundled: scripts/tools/pre-commit-security, scripts/*.js
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Dangerous commands cmd-cron-mention README.md:58
    Mentions editing / listing crontab (quoted — discussed, not commanded)
    Adjust your OpenClaw cron jobs (see `crontab -e` or `openclaw cron`) to match:
    quoted
  • low Exfiltration net-credential-use scripts/league_tracker.js:153
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host; quoted — discussed, not commanded)
    const cmd = `curl -s -X POST https://moltbook.com/api/posts/create \\\n    -H 'Authorization: Bearer ${MOLTBOOK_API_KEY}' \\\n    -H 'Content-Type: application/json' \\\n    -d '${JSON.stringify(paylo
    vendor-hostquoted
  • low Dangerous commands cmd-cron-mention SKILL.md:61
    Mentions editing / listing crontab (quoted — discussed, not commanded)
    Adjust your OpenClaw cron jobs (see `crontab -e` or `openclaw cron`) to match:
    quoted

Files scanned: 18. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Complete agentic dance engineering system for Krump: automated pos… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: scripts/tools/pre-commit-security
  • warning missing-ref reference to a missing file: scripts/*.js

Process rating: all ten parameters 42/100

Will not run. References files that are not bundled: scripts/tools/pre-commit-security, scripts/*.js
  • 0Tools and files. 2 referenced file(s) missing: scripts/tools/pre-commit-security, scripts/*.js
  • 0Result and completion. Does not say what the result is
  • 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
  • 40Consistency. Frontmatter name (dance-agentic-engineer) differs from the folder (dancetech)
  • 60Failures and branches. 2 branches
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 84 steps
  • 100Execution cost. Instruction body is 2931 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 15 top-level sections: this looks like several domains in one skill

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
  • -32 of 10 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 390: enough signal without eating the budget
  • +4Structure: 33 headings
  • +3Step-by-step instructions: 84 items
  • +4Has examples (8 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 54.

External checks

ClawHub: suspicious
This is a disclosed automation bot, but it needs Review because it can publish posts/comments, create public GitHub repositories, and use stored credentials on schedules with weak approval safeguards.
LLM: suspicious (high) · VirusTotal: suspicious · 28 May 2026