SKILLEMALL.ai
GitHub ↗ RU Sign in

AA end-to-end-industry-presentations

从行业主题出发查研报、核对数据并制作可编辑行业分析 PPT，适用于市场规模、 竞争格局和管理层行业汇报；包含图表数据、讲稿和逐页来源。 / Research industry reports and verified data to generate an editable PowerPoint briefing on market size, demand, and competition, with chart data, speaker notes, and slide-to-source mappings retained in JishuDB. Use for evidence-led industry decks, not general work-update presentations.

ClawHub Agent Skills author: bowen-aijishu v0.1.7 MIT-0 10 files · 2 scripts body ≈ 4 911 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

从行业主题出发查研报、核对数据并制作可编辑行业分析 PPT，适用于市场规模、 竞争格局和管理层行业汇报；包含图表数据、讲稿和逐页来源。 / Research industry reports and verified data to generate an editable PowerPoint briefing…

As a process A 84/100 · Runs to the end — weak spots: running it twice

AnalyzerPowerPointData and analyticsAI and agentsResearchtype 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
96/100
safety, quality, tests
Safety 60%
99
Quality 40%
91
Run on models
none yet
Process rating
A
84/100
Runs to the end
Running it twice w 4
30
When it triggers w 12
50
Result and completion w 14
60
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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Secrets in code secret-high-entropy-token references/jishudb-setup/scripts/install-macos.sh:287
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      exactKeys(candidate.signing, ['certificateExpiresAt', 'cert…256', 'nativeFileCount'], 'candidate.signing');
      quoted

    Files scanned: 10. 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 84/100

    • 30Running it twice. 16 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Result and completion. Output format stated, no completion criterion
    • 70Execution cost. Instruction body is 4911 tokens
    • 100Tools and files. No external tools needed
    • 100Steps. 42 steps
    • 100Inputs and preconditions. Inputs and preconditions are listed
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 356: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 42 items
    • +3Output format is stated explicitly
    • +4Has examples (0 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: clean
    This skill is a disclosed industry-presentation workflow that requires JishuDB setup and storage, including an approval-gated local desktop installation when needed.
    LLM: benign (high) · VirusTotal: · 11 Oct 2026