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AF alist-cli

AList file management API for OpenClaw. Supports upload, download, list, mkdir, rm, mv, search, and offline download. Trigger: User asks about file management, AList operations, upload/download files, or cloud storage tasks.

ClawHub Agent Skills author: Kinema. v0.0.1 MIT-0 2 files body ≈ 223 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 24/100 · Will not run — References files that are not bundled: references/openapi.json

IntegrationInfrastructuretype 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
24/100
Will not run
References files that are not bundled: references/openapi.json
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/openapi.json
  • note frontmatter-key unknown frontmatter key "displayName"

Process rating: all ten parameters 24/100

Will not run. References files that are not bundled: references/openapi.json
  • 0Tools and files. 1 referenced file(s) missing: references/openapi.json
  • 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. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (alist-cli) differs from the folder (test-502)
  • 75Steps. 3 steps
  • 100Execution cost. Instruction body is 223 tokens
  • low The response is described with custom markup (5 tags): a typed call is more reliable

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 224: enough signal without eating the budget
  • +4Structure: 5 headings
  • +3Step-by-step instructions: 3 items
  • +4Has examples (2 code blocks)

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

External checks

ClawHub: clean
This is a disclosed AList cloud-file-management skill, but users should treat its credentials and delete or move commands carefully.
LLM: benign (high) · VirusTotal: · 29 May 2026