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/shinpr/codex-workflows/recipe-fullstack-implementnpx skills add shinpr/codex-workflows --skill recipe-fullstack-implementgit clone --depth 1 https://github.com/shinpr/codex-workflowsWhat 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 | $0.00021 | $0.00580 |
| Opus 5 | $0.00010 | $0.00290 |
| Sonnet 5 | $0.00004 | $0.00116 |
| Haiku 4.5 | $0.00002 | $0.00058 |
Grade A, and why
recipe-fullstack-implement 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 3d 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 — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Required Skills [LOAD BEFORE EXECUTION]
- [LOAD IF NOT ACTIVE]
subagents-orchestration-guide— canonical Fullstack Flow, approvals, and autonomous execution - [LOAD IF NOT ACTIVE]
documentation-criteria— scale-selected document path - [LOAD IF NOT ACTIVE]
requirement-convergence— outcome, exclusions, and rough-cost challenge - [LOAD IF NOT ACTIVE]
llm-friendly-context— cross-agent handoffs and Small task carrier
Every spawn_agent call uses fork_turns="none" and supplies only the exact artifacts needed by that specialist.
Requirements or continuation instruction: $ARGUMENTS
Entry
- New or scope-changing requirements: invoke requirement-analyzer for compact scope/cost evidence; the orchestrator completes Requirement Convergence, determines scale and layer routing, and obtains requirement confirmation.
- Existing PRD, UI Spec, Design Docs, Work Plan, or tasks: resume at the next incomplete Fullstack Flow phase. Restart requirement analysis when the approved outcome, requirement, or exclusion changes.
- Quality failure during an existing implementation: resume its task cycle and Orchestrator Escalation Resolution.
Resolve the entry from supplied artifacts and repository state. Ask only when different interpretations require a user-owned product or approved-design decision.
Flow
Apply the Fullstack Flow exposed by subagents-orchestration-guide with backend, frontend, and shared routing. The orchestrator directly owns artifact/path resolution, execution-plan updates, approval recording, task-set computation, commits, and lightweight checks; invoke the named specialists for analysis, authoring, implementation, review, and quality judgment.
Reuse the active execution plan or register the material remaining phases once. Follow the Fullstack Flow's document approvals. After implementation-scope approval, execute tasks autonomously through its filename routing, Per-Task Change Set, quality gate, commit, and Post-Implementation Review.
Apply a security-reviewer finding only when leaving it unresolved would violate an explicit governing requirement or repository rule, or leave a concrete material security failure in the actual reachable trust model. The violated requirement, rule, or failure defines implementation scope: route the smallest correction that resolves it, treating the reviewer's suggestion as one candidate implementation.
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.
- 3d ago First seen · 42 lines · 21 tokens per session scan A 94665249b83c
recipe-fullstack-implement is a skill published in the GitHub repository shinpr/codex-workflows (38 stars, last pushed 5d ago), licensed MIT. It adds 21 tokens to every session and 580 once invoked, about $0.0001 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 2026-08-30.
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