SKILLEMALL.ai

BC code-debug

Diagnose failures in the current local codebase and produce the smallest defensible fix. Use when the user reports an error, crash, bad output, flaky behavior, failed test, or asks for root-cause analysis and a concrete repair in the workspace. Do not use for system administration or hardware troubleshooting. Chinese triggers: 报错、运行异常、崩溃、逻辑错误、定位原因、修复 bug、最小复现.

ClawHub Agent Skills author: sf0799 v0.1.0 MIT-0 3 files body ≈ 74 tokens open source ↗ analyzed 35 h ago

As a process C 63/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

AnalyzerSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
59
Run on models
none yet
Process rating
C
63/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
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

    • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Diagnose failures in the current local codebase and produce the sm… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value

    Process rating: all ten parameters 63/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 100Tools and files. No external tools needed
    • 100Steps. 12 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 74 tokens
    • 100Running it twice. No mutating operations

    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
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • -15SKILL.md body under 300 characters: nearly empty
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 362: enough signal without eating the budget
    • +4Structure: 3 headings
    • +3Step-by-step instructions: 12 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.

    External checks

    ClawHub: clean
    This is a small debugging helper skill that gives workflow guidance for diagnosing local code issues and does not include executable code or hidden access.
    LLM: benign (high) · VirusTotal: · 29 May 2026