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AC technical-accounting-research

Research technical accounting treatment and financial statement disclosure for specific transactions using U.S. GAAP and SEC-focused sources. Use when a user asks how to account for a transaction, what journal entries, presentation, or disclosures are required, or needs accounting-position documentation in memo, email, or Q-and-A DOCX format.

ClawHub Agent Skills author: ChipmunkRPA v0.0.0-auto MIT-0 9 files body ≈ 3 612 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 64/100 · Has gaps — weak spots: consistency, running it twice

ProcedureWordFinancetype 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
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
94
Run on models
none yet
Process rating
C
64/100
Has gaps
Running it twice w 4
30
Consistency w 8
40
When it triggers w 12
50
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: 9. 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 64/100

    • 30Running it twice. 9 mutating operations with no state check
    • 40Consistency. Frontmatter name (technical-accounting-research) differs from the folder (technical-accounting-research-skill)
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
    • 60Steps. 104 steps, 4 vague phrases
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Failures and branches. 14 branches, has a failure section
    • 100Execution cost. Instruction body is 3612 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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 344: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 104 items
    • +3Output format is stated explicitly
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.

    External checks

    ClawHub: suspicious
    This accounting research skill is not clearly malicious, but it requires running an unpinned external GitHub workflow and handling sensitive accounting facts without strong scoping or privacy controls.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026