SKILLEMALL.ai

AD codex-review

本地 Codex 使用复盘助手。扫描最近的 Codex 会话、项目产物、skills、自动化任务和 Token 记录,生成可折叠、Prompt 可复制的 HTML 报告,并给出提问方式、任务拆解、 目标定义、产物沉淀和下周行动建议。用户要求 Codex 周报、AI 使用复盘、Prompt 诊断、 Token 消耗统计、个人 AI 协作习惯优化、项目使用回顾或定期检查 Codex 使用质量时使用。

ClawHub Agent Skills author: YYYY v1.1.0 MIT-0 14 files body ≈ 515 tokens Open the sourceclawhub.ai analyzed 2 d ago

本地 Codex 使用复盘助手。扫描最近的 Codex 会话、项目产物、skills、自动化任务和 Token 记录,生成可折叠、Prompt 可复制的 HTML 报告,并给出提问方式、任务拆解、 目标定义、产物沉淀和下周行动建议。用户要求 Codex 周报、AI 使用复盘、Prompt 诊断、 Token…

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
D
49/100
Unfinished process
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

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 49/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (codex-review) differs from the folder (codexreview)
  • 100Tools and files. No external tools needed
  • 100Steps. 34 steps
  • 100Execution cost. Instruction body is 515 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 199: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 34 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: clean
This skill locally reviews Codex usage history and produces a local report, with sensitive access disclosed and no evidence of upload, deletion, or hidden behavior.
LLM: benign (high) · VirusTotal: · 21 Jul 2026