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 gmickel/flow-next --skill flow-next-impl-reviewgit clone --depth 1 https://github.com/gmickel/flow-nextWrote 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/gmickel/flow-next/flow-next-impl-review)<a href="https://agentmods.dev/skills/gmickel/flow-next/flow-next-impl-review"><img src="https://agentmods.dev/badge/skills/gmickel/flow-next/flow-next-impl-review.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 | $0.00034 | $0.04857 |
| Opus 5 | $0.00017 | $0.02429 |
| Sonnet 5 | $0.00007 | $0.00971 |
| Haiku 4.5 | $0.00003 | $0.00486 |
Grade A, and why
flow-next-impl-review 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 today.
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 — 285 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Implementation Review Mode
Workflow is backend-split. Read workflow-common.md for Phase 0 (backend detection + philosophy + trivial-diff triage), then read ONLY the file matching your active backend. The opt-in --deep/--validate/--interactive phase detail (including the phase-ordering matrix) lives in optional-phases.md, loaded only when a flag fires:
BACKEND=codex→ workflow-codex.mdBACKEND=copilot→ workflow-copilot.mdBACKEND=cursor→ workflow-cursor.mdBACKEND=claude→ workflow-claude.mdBACKEND=host→ workflow-host.mdBACKEND=rp→ workflow-rp.md
Do not load the others — only the active backend's file is needed. Each backend file carries its own Critical Rules and anti-patterns.
Conduct a John Carmack-level review of implementation changes on the current branch.
Role: Code Review Coordinator (NOT the reviewer)
Backends (branch on the Phase 0 RP_ELIGIBLE probe):
- When
RP_ELIGIBLE=1: RepoPrompt (rp), Codex CLI (codex), GitHub Copilot CLI (copilot), Cursor CLI (cursor), Claude Code CLI (claude), or host-native (host) - When
RP_ELIGIBLE=0: Codex CLI (codex), GitHub Copilot CLI (copilot), Cursor CLI (cursor), Claude Code CLI (claude), or host-native (host) — rp is macOS-only; never list it in guidance you surface (--review=rpstays accepted)
Preamble — execute Phase 0 exactly once
The executable Phase 0 lives in workflow-common.md §"Phase 0: Backend Detection" — Read it and execute it ONCE, before any other bash in this skill. It defines $FLOWCTL (bundled — NOT installed globally; which flowctl fails, expected), probes RP_ELIGIBLE, resolves $BACKEND via the single flowctl review-backend call, and handles the ASK / none cases. Every later bash block here (triage, deep-pass selection) uses the $FLOWCTL it defines. Never invoke flowctl review-backend a second time in the same run.
What ships with it
18 files 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.
- agents/openai.yaml 187 B
- deep-passes.md 7.6 KB
- optional-phases.md 24 KB
- references/backend-specs.md 2.6 KB
- references/fix-loop.md 5.4 KB
- references/impl-review-prompt.md 6.6 KB
- references/rp-classic.md 8.0 KB
- references/standalone-review-prompt.md 4.7 KB
- references/triage-rules.md 1.8 KB
- validate-pass.md 1.9 KB
- walkthrough.md 9.5 KB
- workflow-claude.md 7.0 KB
- workflow-codex.md 18 KB
- workflow-common.md 8.4 KB
- workflow-copilot.md 4.6 KB
- workflow-cursor.md 5.6 KB
- workflow-host.md 26 KB
- workflow-rp.md 33 KB
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.
- today Changed · +2 lines ced150cc2ba8
- yesterday Changed 4e8ebe2db30a
- 3d ago Changed · +27 lines 19ee47a662aa
- 7d ago First seen · 256 lines · 34 tokens per session scan A 0c2f20d36a7d
flow-next-impl-review is a skill published in the GitHub repository gmickel/flow-next (691 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 4,857 once invoked, about $0.0002 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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