SKILLEMALL.ai

AD grill-the-plan

动手前拷问计划的每个节点:拆节点、摊参数、曝风险、逐个确认,未获明确 OK 不动手。Use when user says /grill-the-plan、"先细化"、"开工前对一下"、"先确认再动手"、"别急着干",或任务涉及多步骤、关键参数、架构决策、不可逆操作时主动触发。

ClawHub Agent Skills author: fbbyqsyea v1.0.1 MIT-0 3 files body ≈ 147 tokens Open the sourceclawhub.ai analyzed 2 d ago

动手前拷问计划的每个节点:拆节点、摊参数、曝风险、逐个确认,未获明确 OK 不动手。Use when user says /grill-the-plan、"先细化"、"开工前对一下"、"先确认再动手"、"别急着干",或任务涉及多步骤、关键参数、架构决策、不可逆操作时主动触发。

As a process D 36/100 · Unfinished process — weak spots: steps, result and completion, when it triggers

Referencetype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
D
36/100
Unfinished process
Steps w 15
0
Result and completion w 14
0
Inputs and preconditions w 11
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

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 36/100

    • 0Steps. Prose only: no discrete steps
    • 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
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 1 mutating operations with no state check
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 147 tokens

    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

    • +4Description does not say when NOT to use the skill (false activations)
    • +4Structure: 0 headings, hard to scan
    • +3No numbered steps or checklist
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 2 example trigger phrases
    • +3Description length 138: enough signal without eating the budget
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

    External checks

    ClawHub: clean
    This skill only adds a pre-work planning and confirmation workflow, with no executable code or hidden data access.
    LLM: benign (high) · VirusTotal: · 18 Aug 2026