SKILLEMALL.ai

AC tesp-audit

Audit whether the Task Execution Signal Protocol is still being followed, with low-token, exception-first checks for version drift, queue hygiene, numeric stage format, and core execution anchors. Use when reviewing rollout quality, governance hygiene, task-board cleanliness, protocol drift, or periodic checks for TESP adoption. Trigger on requests about TESP audit, rollout verification, queue hygiene, light governance checks, exception-only monitoring, or confirming that agents still follow the current TESP baseline. 中文简介:用于审计 TESP 是否仍被正确执行的轻量治理 skill。重点检查协议版本、执行模板版本、数字阶段格式、任务板卫生、活跃板/归档板分离,以及是否出现执行漂移;默认采用低 token、异常优先、常态静默的检查方式。

ClawHub Agent Skills author: Wewehg v1.0.0 MIT-0 3 files body ≈ 328 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

AnalyzerInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
C
57/100
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

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 57/100

    • 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
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 24 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 328 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
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 636: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 24 items
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: clean
    This is a small markdown-only audit skill that checks specific TESP governance files and does not show hidden execution, credential use, network access, or destructive behavior.
    LLM: benign (high) · VirusTotal: · 29 May 2026