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-spec-completion-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-spec-completion-review)<a href="https://agentmods.dev/skills/gmickel/flow-next/flow-next-spec-completion-review"><img src="https://agentmods.dev/badge/skills/gmickel/flow-next/flow-next-spec-completion-review/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/gmickel/flow-next/flow-next-spec-completion-review"><img src="https://agentmods.dev/badge/skills/gmickel/flow-next/flow-next-spec-completion-review.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 | $0.00027 | $0.04011 |
| Opus 5 | $0.00014 | $0.02005 |
| Sonnet 5 | $0.00005 | $0.00802 |
| Haiku 4.5 | $0.00003 | $0.00401 |
Grade A, and why
flow-next-spec-completion-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 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 — 295 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spec Completion Review Mode
Workflow is backend-split. Read workflow-common.md for Phase 0 (backend detection + philosophy), then read ONLY the file matching your active backend:
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.
Verify that the combined implementation of all tasks in a spec satisfies the spec requirements. This is NOT a code quality review (that's impl-review's job) — this confirms spec compliance only.
Role: Spec Completion 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. Never invoke flowctl review-backend a second time in the same run.
Exception: a --review=<backend> argument (see Backend Selection below) wins — when present, set BACKEND from the flag and skip Phase 0's review-backend call + ASK handling (still run its $FLOWCTL / RP_ELIGIBLE setup lines).
What ships with it
10 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.
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 Changed · +2 lines 9a9d5f5496bf
- 4d ago Changed fd66d18a3df5
- 10d ago First seen · 293 lines · 27 tokens per session scan A 99b4ce5f598a
flow-next-spec-completion-review is a skill published in the GitHub repository gmickel/flow-next (694 stars, last pushed today), licensed MIT. It adds 27 tokens to every session and 4,011 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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