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/gmickel/flow-next/flow-next-interviewnpx skills add gmickel/flow-next --skill flow-next-interviewgit 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-interview)<a href="https://agentmods.dev/skills/gmickel/flow-next/flow-next-interview"><img src="https://agentmods.dev/badge/skills/gmickel/flow-next/flow-next-interview.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 | $0.00036 | $0.09738 |
| Opus 5 | $0.00018 | $0.04869 |
| Sonnet 5 | $0.00007 | $0.01948 |
| Haiku 4.5 | $0.00004 | $0.00974 |
Grade A, and why
flow-next-interview 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 4d 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 — 453 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Flow interview
Conduct an extremely thorough interview about a task/spec and write refined details back.
.flow/ is the only task tracker. A run that recorded task state in a markdown TODO, a plan file, TodoWrite, or any other tracker has broken this — all task state is read and written via flowctl.
Chart boundary (fn-135)
Existing-spec clarification stays primary. Interview refines a valid spec with unresolved judgment questions. Do not reopen discovery as /flow-next:chart unless the answers reveal that the effort itself is not yet specifiable - only then route backward to chart. Clear work that never needed a chart stays out of chart. Unsure of the hop: /flow-next:guide.
Preamble
CRITICAL: flowctl is BUNDLED — NOT installed globally. which flowctl will fail (expected). Define once; subsequent blocks use $FLOWCTL:
FLOWCTL="${CODEX_HOME:-$HOME/.codex}/scripts/flowctl"
[ -x "$FLOWCTL" ] || FLOWCTL="<plugin-root>/scripts/flowctl" # <plugin-root> = the directory two levels above this skill's SKILL.md file (the harness gave you that file's absolute path when the skill loaded); substitute it literally
[ -x "$FLOWCTL" ] || FLOWCTL=".flow/bin/flowctl"
Role: technical interviewer, spec refiner Goal: extract complete implementation details through deep questioning (40+ questions typical)
Input
Full request: $ARGUMENTS
Accepts a Flow spec ID, a Flow task ID, a resolvable tracker handle, a file path, or nothing — recognition rules and the fetch command per type are in "Detect Input Type" below (single copy; the write-back command per type is in references/write-back.md).
Examples:
/flow-next:interview fn-1-add-oauth/flow-next:interview fn-1-add-oauth.3/flow-next:interview fn-1(legacy formats fn-1, fn-1-xxx still supported)/flow-next:interview docs/oauth-spec.md
If empty, ask: "What should I interview you about? Give me a Flow ID (e.g., fn-1-add-oauth) or file path (e.g., docs/spec.md)"
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.
- agents/openai.yaml 176 B
- questions-business.md 3.0 KB
- questions-shared.md 3.3 KB
- questions-technical.md 2.3 KB
- references/doc-aware.md 20 KB
- references/fact-scouts.md 1.8 KB
- references/pass-business.md 7.6 KB
- references/pass-technical.md 2.5 KB
- references/post-write-back.md 4.5 KB
- references/write-back.md 23 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.
- 4d ago First seen · 453 lines · 36 tokens per session scan A 7c2e7f59d4eb
flow-next-interview is a skill published in the GitHub repository gmickel/flow-next (690 stars, last pushed yesterday), licensed MIT. It adds 36 tokens to every session and 9,738 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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