SKILLEMALL.ai

AC ecosystem-mapper

Map the supply chain ecosystem of a given industry — identify upstream/midstream/downstream/horizontal-support positions and representative companies at each. Use when user asks for '生态图谱', '供应链分析', 'industry ecosystem map', '产业图谱', '行业生态', '产业链'. Outputs markdown with 4-生态位 breakdown + Mermaid diagram. Part of the industry-analyzer plugin (6-Skill 流水线第 2 环).

ClawHub Agent Skills author: Aha.Gare v0.1.0 MIT-0 3 files body ≈ 529 tokens Open the sourceclawhub.ai analyzed 31 h ago

Map the supply chain ecosystem of a given industry — identify upstream/midstream/downstream/horizontal-support positions and representative companies at each.

As a process C 57/100 · Has gaps — weak spots: when it triggers, failures and branches, consistency

Proceduretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
C
57/100
Has gaps
Failures and branches w 10
0
Progress reporting w 2
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 · 0

    ✓ No critical or high findings

    Files scanned: 3. 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 57/100

    • 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
    • 40Consistency. Frontmatter name (ecosystem-mapper) differs from the folder (industry-analyzer-ecosystem)
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 40 steps
    • 100Execution cost. Instruction body is 529 tokens
    • 100Running it twice. No mutating operations
    • low 10 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)
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 361: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 40 items
    • +3Output format is stated explicitly
    • +4Reference files are cited in the instructions (1 of 1)

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

    External checks

    ClawHub: clean
    This is a file-producing industry research skill whose local writes are disclosed and aligned with its purpose.
    LLM: benign (high) · VirusTotal: · 7 Jun 2026