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AC sticker-manager

Sticker library management for OpenClaw. Use this skill to save, search, tag, rename, clean up, collect, import, and recommend stickers or reaction images. It supports local inventory management for JPG / JPEG / PNG / WEBP / GIF files. Default library path: ~/.openclaw/workspace/stickers/library/ Override with: STICKER_MANAGER_DIR

ClawHub Agent Skills author: zhuwenzhuang v0.3.0 MIT-0 30 files body ≈ 2 030 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 55/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructureCommercetype 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
92/100
safety, quality, tests
Safety 60%
96
Quality 40%
87
Run on models
none yet
Process rating
C
55/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

    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 · 4

    ✓ No critical or high findings

    Medium and low: 4
    • low Secrets in code secret-high-entropy-token scripts/check_sensitive.py:35
      High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
      "token = \"ghp_…bcd\"",
      placeholder
    • low Secrets in code secret-github-token scripts/check_sensitive.py:35
      GitHub token (placeholder value)
      "token = \"ghp_…bcd\"",
      placeholder
    • low Secrets in code secret-high-entropy-token scripts/check_sensitive.py:36
      High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
      "token = \\\"ghp_…bcd\\\"",
      placeholder
    • low Secrets in code secret-github-token scripts/check_sensitive.py:36
      GitHub token (placeholder value)
      "token = \\\"ghp_…bcd\\\"",
      placeholder

    Files scanned: 19. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 55/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 13 mutating operations with no state check
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 100Steps. 68 steps
    • 100Failures and branches. 7 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2030 tokens
    • 100Progress reporting. Reports progress

    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 334: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 68 items
    • +4Has examples (21 code blocks)
    • +3All 10 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: suspicious
    This sticker tool mostly matches its purpose, but it needs review because some file and data-handling paths are not safely scoped.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026