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AC continue-codex-work

Continues interrupted OpenAI Codex work only after read-codex-history verifies the selected rollout identity and complete fork/compaction lineage. Use when the user provides a Codex Session ID, asks to pick up a prior Codex run, says Codex was interrupted, fused, compacted, or stuck, or wants the current Agent to take over without `codex resume`. Restores the original business outcome, unfulfilled requests, user corrections, proven prior assets, current workspace truth, and the next action that directly advances the goal. Do not use when Codex itself natively resumed this same conversation and its prior turns or compaction state are already present in the current context.

daymade/claude-code-skills Claude Code author: daymade 1 file body ≈ 1 120 tokens Open the sourcegithub.com↗ analyzed 2 h ago

Continues interrupted OpenAI Codex work only after read-codex-history verifies the selected rollout identity and complete fork/compaction lineage.

As a process C 61/100 · Has gaps — weak spots: result and completion, inputs and preconditions, progress reporting

AnalyzerSoftware 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
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
C
61/100
Has gaps
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

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: 1. 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 61/100

    • 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
    • 55Failures and branches. 1 branches
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 100Steps. 15 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1120 tokens
    • 100Running it twice. Mutating operations check current state

    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
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 680: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 15 items

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