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CD ai-task-hub

AI task hub for image analysis, background removal, speech-to-text, text-to-speech, markdown conversion, and points queries. Default host path is connector-first and result-first; async poll/presentation remain compatibility or asset-delivery follow-up surfaces.

ClawHub Agent Skills author: chinasilva v3.3.14 MIT-0 11 files · 6 scripts body ≈ 7 074 tokens Open the sourceclawhub.ai↗ analyzed 10 d ago

AI task hub for image analysis, background removal, speech-to-text, text-to-speech, markdown conversion, and points queries.

As a process D 49/100 · Unfinished process — References files that are not bundled: scripts/*.mjs

AnalyzerAI and agentsSoftware developmenttype 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
C
80/100
safety, quality, tests
Safety 60%
90
Quality 40%
65
Run on models
none yet
Process rating
D
49/100
Unfinished process
References files that are not bundled: scripts/*.mjs
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

What is at stake

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

Dangerous commands 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 contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  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 · 2

✓ No critical or high findings

Medium and low: 2
  • medium Dangerous commands cmd-pipe-to-shell SKILL.md:215
    Downloads and executes remote code from an unrecognised host (pipe to shell) (quoted — discussed, not commanded)
    - No remote download-to-exec install chain is used (`curl|wget ... | sh|bash|python|node` is not part of this package).
    quoted
  • medium Dangerous commands cmd-pipe-to-shell SKILL.zh-CN.md:213
    Downloads and executes remote code from an unrecognised host (pipe to shell) (quoted — discussed, not commanded)
    - 本包不包含远程下载后执行链路（不使用 `curl|wget ... | sh|bash|python|node`）。
    quoted

Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 7074 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: scripts/*.mjs
  • note edit-residue the text marks something as outdated (lines 178): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 49/100

Will not run. References files that are not bundled: scripts/*.mjs
  • 0Tools and files. 1 referenced file(s) missing: scripts/*.mjs
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 30Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 42 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 70Execution cost. Instruction body is 7074 tokens
  • 100Steps. 256 steps
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • low 20 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

  • +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
  • -31 of 6 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 262: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 256 items
  • +4Has examples (7 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: clean
This is a disclosed remote AI media/task connector, with important privacy and upload-size caveats but no artifact-backed evidence of malware, persistence, self-modification, or hidden credential theft.
LLM: benign (medium) · VirusTotal: · 12 Sept 2026