SKILLEMALL.ai

AB company-tech-profile

Single-company technology profile and R&D assessment for a defined technology topic. Use when the user asks for a company technology profile, company technical analysis, R&D direction assessment, technical due diligence briefing, or any single-company-by-topic technical evaluation — even if they only mention a company plus a technology area without explicitly asking for a "profile".

ClawHub Claude Code author: yuanzhian-patsnap v1.0.1 MIT-0 18 files body ≈ 3 221 tokens Open the sourceclawhub.ai analyzed 3 d ago

Single-company technology profile and R&D assessment for a defined technology topic.

As a process B 69/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting

AnalyzerAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
B
69/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
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: 18. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "copyright"
    • note frontmatter-key unknown frontmatter key "provider"
    • note frontmatter-key unknown frontmatter key "deliverable-default"
    • note frontmatter-key unknown frontmatter key "fallback-policy"

    Process rating: all ten parameters 69/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 1 mutating operations with no state check
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 85Steps. 107 steps, 1 vague phrases
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 2 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3221 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • 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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 385: enough signal without eating the budget
    • +4Structure: 26 headings
    • +3Step-by-step instructions: 107 items
    • +3Output format is stated explicitly
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (7 of 7)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    This skill is a public-research workflow for company technology reports, with no hidden code, persistence, credential handling, or destructive behavior found.
    LLM: benign (high) · VirusTotal: · 13 Aug 2026