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-auditgit 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-audit)<a href="https://agentmods.dev/skills/gmickel/flow-next/flow-next-audit"><img src="https://agentmods.dev/badge/skills/gmickel/flow-next/flow-next-audit/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-audit"><img src="https://agentmods.dev/badge/skills/gmickel/flow-next/flow-next-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high System Prompt Leakage · line 113 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
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 | $0.00046 | $0.02857 |
| Opus 5.5 | $0.00018 | $0.01143 |
| Sonnet 5.5 | $0.00009 | $0.00571 |
| Haiku 4.5 | $0.00005 | $0.00286 |
Grade A, and why
flow-next-audit 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 8d 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/flow-next:audit — agent-native memory staleness review
Memory entries decay. A .flow/memory/bug/runtime-errors/ entry logged six months ago might reference a renamed file, a deleted function, or a codepath that no longer exists. Without periodic review, the store accumulates zombie entries and memory-scout surfaces outdated advice.
This skill IS the audit. The host agent (Claude Code / Codex / Droid) walks .flow/memory/, reads each entry, uses Read/Grep/Glob/git to verify references against the current codebase, applies engineering judgment, and decides per entry whether to Keep / Update / Consolidate / Replace / Delete / Harden. Optional autofix mode applies unambiguous actions and marks ambiguous as stale.
Harden is the graduation path: a lesson that keeps getting re-learned and states a mechanically checkable rule should stop riding the context window and become a gate. The audit proposes an artifact in a surface the repo already has — a lint rule or a CI step — verifies the gate actually fires, and only then demotes the entry to a pointer at it (file stays on disk, provenance intact). Propose-and-confirm by design: gate surfaces are shared repo infrastructure, so Harden never applies unattended.
Decision entries (.flow/memory/knowledge/decisions/) and glossary terms (GLOSSARY.md files at the repo root and on the ancestor chain) are walked alongside the rest of memory. Decisions get a calibrated judging question — "does the constraint that motivated this choice still hold?" — and Replace becomes a two-step supersession (write successor, mark old decision_status: superseded, never git rm). Glossary terms are scanned for code usage; zero-hit terms get a <!-- stale: ... --> HTML comment via Edit tool (no flowctl glossary mark-stale exists), _Avoid_ aliases appearing in code surface as alias-creep findings.
There is no subprocess judgment or deterministic classification. memory audit-scan --json collects mechanical evidence; memory apply --plan <file> --json persists host-authored actions. The host agent is already an LLM and does the work directly. flowctl provides only thin persistence plumbing (memory mark-stale, memory mark-fresh, memory mark-hardened, memory search --status). All judgment — is this recurring, is it mechanizable, which gate surface, what should the rule say — stays in this skill; there is no flowctl gate subcommand and never will be.
Read workflow.md for the full phase-by-phase execution. Read phases.md for the 6-outcomes lookup with memory-schema-specific calibration.
Read working-rules.md first unless you already have this run; it holds for every step of this skill.
What ships with it
9 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.
- 8d ago Changed 81ac00f71f90
- 21d ago Changed · -30 lines 43080016c467
- 22d ago Changed · +2 lines 4f29a1c1e4b2
- 28d ago Changed 2b7977b9dd99
- 1mo ago Changed 5a4320e6fd8f
- 1mo ago Changed aba1458baaf3
- 1mo ago Changed 15e765dc9648
- 1mo ago First seen · 147 lines · 46 tokens per session scan A 29571d45a25e
flow-next-audit is a skill published in the GitHub repository gmickel/flow-next (711 stars, last pushed 5d ago), licensed MIT. It adds 46 tokens to every session and 2,857 once invoked, about $0.0002 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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