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BD tibo-reset-codex

查询 ChatGPT/Codex 重置公告及多个 Pro 账号的剩余额度、备用 Full reset；复用 Google 登录逐个核实并恢复网页账号，换算北京时间。区分 Tibo 官宣、未官宣的平台静默重置、banked reset 与账户级周期重置。Use when 用户问「什么时候重置」「额度什么时候恢复」「下次全员重置几点」 「banked reset 到了吗」「Tibo 说了什么」「usage limit when reset」，或说「额度突然回到 100%」「好像/肯定又重置了」，或问「几个账号都用完了吗」「哪个还满额」。必须用实时产品状态、独立用户实测与公告交叉核验；禁止因 Tibo Radar 没有新条目就否定已经发生的重置，并须把太平洋时间当场换算为北京时间。

daymade/claude-code-skills Agent Skills author: daymade 13 files · 1 script body ≈ 6 901 tokens Open the sourcegithub.com↗ analyzed 2 h ago

查询 ChatGPT/Codex 重置公告及多个 Pro 账号的剩余额度、备用 Full reset；复用 Google 登录逐个核实并恢复网页账号，换算北京时间。区分 Tibo 官宣、未官宣的平台静默重置、banked reset 与账户级周期重置。Use when…

As a process D 47/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: 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) OpenClaw Goose OpenCode
JSON
Technical rating
B
81/100
safety, quality, tests
Safety 60%
85
Quality 40%
75
Run on models
none yet
Process rating
D
47/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 3

✓ No critical or high findings

Medium and low: 3
  • medium Exfiltration intent-browser-credential-store scripts/import-google-cookies.py:2
    Accesses a browser credential / cookie store (quoted — discussed, not commanded)
    """Copy .google.com-family cookies from the daily Chrome profile into one
    quoted
  • medium Exfiltration intent-browser-credential-store scripts/import-google-cookies.py:36
    Accesses a browser credential / cookie store (detector / deny-list definition)
    Path.home() / "Library/Application Support/Google/Chrome/Default/Cookies"
    detector
  • medium Exfiltration intent-browser-credential-store scripts/import-google-cookies.py:74
    Accesses a browser credential / cookie store (quoted — discussed, not commanded)
    "so Chrome can create its own Default/Cookies schema.",
    quoted

Files scanned: 10. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 6901 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 47/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (web, node) that frontmatter does not declare
  • 70Execution cost. Instruction body is 6901 tokens
  • 100Steps. 67 steps
  • 100Consistency. Name and required fields are in place
  • low The response is described with custom markup (3 tags): a typed call is more reliable

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
  • -31 of 5 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 342: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 67 items
  • +4Has examples (12 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.