SKILLEMALL.ai

BD codex-usage

Manual Telegram slash-style command for Codex profile status and usage checks. Use when the user sends /codex_usage, /codex_usage default, /codex_usage all, or /codex_usage <profile>, or asks to check openai-codex profile usage/limits/auth health.

ClawHub Agent Skills author: DeadlySilent v1.0.19 MIT-0 2 files body ≈ 64 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process D 44/100 · Unfinished process — weak spots: steps, result and completion, inputs and preconditions

ReferenceTelegramSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
62
Run on models
none yet
Process rating
D
44/100
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: 2. 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 44/100

    • 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
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 64 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)
    • +4Structure: 0 headings, hard to scan
    • +3No numbered steps or checklist
    • +3Output format is not stated: the model decides each time
    • -15SKILL.md body under 300 characters: nearly empty
    • +1No license
    • +2Single-language instructions
    • +3Description length 247: enough signal without eating the budget
    • +4Has examples (1 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.

    External checks

    ClawHub: suspicious
    This is a small command wrapper, but it delegates real work to an external local skill/script and may inspect all Codex profiles rather than only the requested one.
    LLM: suspicious (medium) · VirusTotal: · 29 May 2026