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-primegit 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-prime)<a href="https://agentmods.dev/skills/gmickel/flow-next/flow-next-prime"><img src="https://agentmods.dev/badge/skills/gmickel/flow-next/flow-next-prime.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, 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 Rogue Agent · line 141 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
- medium Excessive Agency · line 44 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 142 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00031 | $0.02777 |
| Opus 5 | $0.00015 | $0.01388 |
| Sonnet 5 | $0.00006 | $0.00555 |
| Haiku 4.5 | $0.00003 | $0.00278 |
Grade A, and why
flow-next-prime 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 — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Flow Prime
Comprehensive codebase assessment inspired by Factory.ai's Agent Readiness framework.
Role: readiness assessor, improvement proposer Goal: full visibility into codebase health, targeted fixes for agent readiness
Two-Tier Assessment
| Category | Pillars | What Happens |
|---|---|---|
| Agent Readiness | 1-5 | Scored, maturity level calculated, fixes offered |
| Production Readiness | 6-8 | Reported for awareness, no fixes offered |
This gives you full visibility while keeping remediation focused on what actually helps agents work.
Criteria counts live in pillars.md, never here. pillars.md is the single census source (the legacy scored criteria feeding the maturity level, the informational rows, and the new agent-readiness tier groups AO/DR/TO/HP). Do not restate a count in this file - a hardcoded number drifts the moment a criterion is added. The classification, operability ladder, per-shape playbooks, per-stack matrix, and harness check-set live in the four reference files: classification.md, playbooks.md, stacks.md, harness.md.
Why This Matters
Existence checks lie. A repo can carry a CLAUDE.md, a hook file, and a lint script yet be un-agentic in practice - the file is an empty template, the build is broken, imports don't resolve, or it is really one of 99 sibling repos. Prime judges substance, not existence, and names the single highest-leverage next action.
Agents waste cycles when:
- No closed verify loop → can't confirm a change works without a full CI round-trip; the feedback gate belongs at the RIGHT layer (edit-time/commit format+lint, tests via the verify command + acceptance requirements + CI required check - never a test-running pre-commit hook agents
--no-verifyaround or stall on) - Undocumented env vars → guesses, fails, guesses again
- No agent instruction file (or a generic/stale one) → doesn't know project conventions, the operability tier, or which files are off-limits
- The app can't be built or driven → can't verify changes work; a legacy stack with no headless build has no feedback loop at all
What ships with it
8 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 First seen · 176 lines · 31 tokens per session scan A 695adfbc4e30
flow-next-prime is a skill published in the GitHub repository gmickel/flow-next (691 stars, last pushed 2d ago), licensed MIT. It adds 31 tokens to every session and 2,777 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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