Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/kitchen-engineer42/joharnessburg/codex-vertical-workflowsnpx skills add kitchen-engineer42/joharnessburg --skill codex-vertical-workflowsgit clone --depth 1 https://github.com/kitchen-engineer42/joharnessburgWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/kitchen-engineer42/joharnessburg/codex-vertical-workflows)<a href="https://agentmods.dev/skills/kitchen-engineer42/joharnessburg/codex-vertical-workflows"><img src="https://agentmods.dev/badge/skills/kitchen-engineer42/joharnessburg/codex-vertical-workflows.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00074 | $0.00354 |
| Opus 5 | $0.00037 | $0.00177 |
| Sonnet 5 | $0.00015 | $0.00071 |
| Haiku 4.5 | $0.00007 | $0.00035 |
Grade A, and why
codex-vertical-workflows scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Codex vertical workflows
Keep the phase contract provider-neutral: immutable indexed inputs, stable item
IDs, typed receipts, unique events, audit barriers, and a verified checkpoint.
Use john_run.py to create and reconcile the durable ledger before treating
agent returns as completion.
- Create the run from a deterministic work CSV.
- Dispatch ordinary native subagents in bounded waves; default concurrency is
6 and workers remain leaves (
max_depth=1). - Use experimental
spawn_agents_on_csvonly when capability detection says it is available and the rows are uniform. Both engines consume the same manifest and receipt contract. - Record every attempt receipt, then reconcile. A successful thread is not a completed item until its referenced events exist, parse, match run/item identity, and contain the required terminal event.
- Run extraction verification, coverage, grounding, adjudication, and typed
reduction as separate stages with barriers. For extraction, invoke
reduce_events.py --require-extraction-auditsbefore phase advancement.
Use john_run.py status, retry-csv, and cancel for recovery. Never assign
deterministic indexing to one agent, and never let parallel code workers edit
the same files without disjoint ownership or an isolated worktree.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 29 lines · 74 tokens per session scan A 283c08099a04
codex-vertical-workflows is a skill published in the GitHub repository kitchen-engineer42/joharnessburg (9 stars, last pushed 1mo ago), licensed MIT. It adds 74 tokens to every session and 354 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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