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 skills add shinpr/codex-workflows --skill recipe-add-integration-testsgit clone --depth 1 https://github.com/shinpr/codex-workflowsWrote 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/shinpr/codex-workflows/recipe-add-integration-tests)<a href="https://agentmods.dev/skills/shinpr/codex-workflows/recipe-add-integration-tests"><img src="https://agentmods.dev/badge/skills/shinpr/codex-workflows/recipe-add-integration-tests/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/shinpr/codex-workflows/recipe-add-integration-tests"><img src="https://agentmods.dev/badge/skills/shinpr/codex-workflows/recipe-add-integration-tests.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00020 | $0.01595 |
| Opus 5.5 | $0.00008 | $0.00638 |
| Sonnet 5.5 | $0.00004 | $0.00319 |
| Haiku 4.5 | $0.00002 | $0.00160 |
Grade A, and why
recipe-add-integration-tests 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.
How it starts
The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Required Skills [LOAD BEFORE EXECUTION]
Before loading required skills, use wc -c to size the files and set both exec_command.max_output_tokens and the outer // @exec: {"max_output_tokens": N} budget to accommodate their contents, including the combined output of batched reads. Split oversized reads upfront; recover any truncated content before proceeding.
- [LOAD IF NOT ACTIVE]
testing— repository-aware test execution - [LOAD IF NOT ACTIVE]
integration-e2e-testing— value-based integration/E2E selection - [LOAD IF NOT ACTIVE]
subagents-orchestration-guide— review resolution and agent coordination - [LOAD IF NOT ACTIVE]
llm-friendly-context— task file contract
Invocation rule: Start each named agent with spawn_agent and fork_turns="none". When invoking the same named agent again within this flow, use followup_task on its existing instance with the inputs specified for the current invocation.
Context: Test addition workflow for existing implementations
Orchestrator Definition
Core Identity: Coordinate test addition, perform lightweight evidence collection and routing directly, and invoke specialists for generation, implementation, and review judgment.
Execution Plan: Reuse the active execution plan. When the workflow has multiple dependent actions and no plan exists, create one that tracks them through final verification.
Execution Method:
- Skeleton generation -> Invoke acceptance-test-generator agent
- Task file creation -> Orchestrator creates directly (minimal context usage)
- Test implementation -> Invoke task-executor agent
- Test review -> Invoke integration-test-reviewer agent
- Quality checks -> Invoke quality-fixer agent
Document paths: $ARGUMENTS
Prerequisites
- At least one Design Doc must exist (created manually or via reverse-engineer)
- Existing implementation to test
Execution Flow
Step 0: Prepare Context
Use the llm-friendly-context Task File Contract in Step 3.
Step 1: Discover and Validate Documents
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 Changed · +2 lines 4213b6db280d
- 27d ago Changed f3057ae65ef4
- 1mo ago Changed · -8 lines 4e42d66ad8d5
- 2mo ago First seen · 147 lines · 20 tokens per session scan A 5324fac6ac05
recipe-add-integration-tests is a skill published in the GitHub repository shinpr/codex-workflows (39 stars, last pushed yesterday), licensed MIT. It adds 20 tokens to every session and 1,595 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
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