SKILLEMALL.ai

AD codex-run-to-completion

Autonomous Codex run-to-completion workflow for low quota/cota situations. Use when the user asks for an uninterrupted agent run, says "nao me peca confirmacao", "nao trave", "nao pare", "rode ate o final", or wants Codex to self-manage terminal waits, sleep, polling, long-running commands, tests, builds, and verification instead of stopping for avoidable questions.

ClawHub Agent Skills author: Vyctor H. Brzezowski v1.0.0 MIT-0 3 files body ≈ 552 tokens Open the sourceclawhub.ai analyzed 27 h ago

Autonomous Codex run-to-completion workflow for low quota/cota situations.

As a process D 49/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
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

    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 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
    • 30Running it twice. 1 mutating operations with no state check
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 13 steps, 1 vague phrases
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 552 tokens
    • 100Progress reporting. Reports progress

    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)
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 4 example trigger phrases
    • +3Description length 368: enough signal without eating the budget
    • +4Structure: 5 headings
    • +3Step-by-step instructions: 13 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: clean
    This skill transparently makes Codex run routine development tasks with fewer interruptions, and the artifacts do not show hidden, destructive, persistent, or data-exfiltrating behavior.
    LLM: benign (high) · VirusTotal: · 28 May 2026