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/6bnbn/flowpilot/using-superpowersnpx skills add 6BNBN/FlowPilot --skill using-superpowersgit clone --depth 1 https://github.com/6BNBN/FlowPilotWhat 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 | $0.00030 | $0.00792 |
| Opus 5 | $0.00015 | $0.00396 |
| Sonnet 5 | $0.00006 | $0.00158 |
| Haiku 4.5 | $0.00003 | $0.00079 |
Grade A, and why
using-superpowers 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 2d 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.
This is a copy
100% identical to superpowers — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
If a relevant skill exists, you do not get to skip it because the task feels small or familiar.
How to Access Skills
In Codex CLI: Open the relevant SKILL.md under ~/.codex/skills or the workspace-provided skill pack, then follow it directly.
If a skill includes a checklist: mirror the checklist in update_plan so progress stays visible while you work.
Using Skills
The Rule
Open relevant or requested skills before any response or action. Even a 1% chance that a skill applies means you should inspect it first. If a skill turns out not to fit, you can stop using it after reading it.
`dot digraph skill_flow { "User message received" [shape=doublecircle]; "About to start work?" [shape=doublecircle]; "Already brainstormed?" [shape=diamond]; "Open brainstorming skill" [shape=box]; "Might a skill apply?" [shape=diamond]; "Open matching SKILL.md" [shape=box]; "Announce: Using [skill]" [shape=box]; "Has checklist?" [shape=diamond]; "Mirror checklist in update_plan" [shape=box]; "Follow skill exactly" [shape=box]; "Respond" [shape=doublecircle];
"About to start work?" -> "Already brainstormed?";
"Already brainstormed?" -> "Open brainstorming skill" [label="no"];
"Already brainstormed?" -> "Might a skill apply?" [label="yes"];
"Open brainstorming skill" -> "Might a skill apply?";
"User message received" -> "Might a skill apply?";
"Might a skill apply?" -> "Open matching SKILL.md" [label="yes, even 1%"];
"Might a skill apply?" -> "Respond" [label="definitely not"];
"Open matching SKILL.md" -> "Announce: Using [skill]";
"Announce: Using [skill]" -> "Has checklist?";
"Has checklist?" -> "Mirror checklist in update_plan" [label="yes"];
"Has checklist?" -> "Follow skill exactly" [label="no"];
"Mirror checklist in update_plan" -> "Follow skill exactly";
} `
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.
- 2d ago First seen · 82 lines · 30 tokens per session scan A 6dc119737406
using-superpowers is a skill published in the GitHub repository 6BNBN/FlowPilot (133 stars, last pushed 5mo ago), licensed MIT. It adds 30 tokens to every session and 792 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to superpowers, differing in 2 lines, and is treated as a copy.
Other skills, from other repositories
coding-agents-farm
To orchestrate parallel coding-agent farms (Claude, Codex, Copilot, Gemini, etc.) on isolated git worktrees.
agent-orchestration-multi-agent-optimize-v2
Multi-Agent Optimization Toolkit workflow skill. Use this skill when the user needs Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability and the operator should preserve the upstream workflow…
nobrainer-ultra
Use when the owner says nb-ultra, nb-flow, nb-workflow, ultracode, or asks to set up, upgrade, or reconcile a project's agent workflow; or wants one non-trivial task taken from brief requirements through a complete skill-routed plan, guarded autonomous execution, useful multi-session work and final evidence audit.
nobrainer-autoimprove
Use when the owner says nb-autoimprove, deep-autoresearch, code-autoresearch, nobrainer-capture-lesson, or nobrainer-continuous-improvement; asks to improve a skill or prompt; or wants a measurable bounded baseline-variant-evaluation loop instead of one subjective rewrite.
nobrainer-dispatcher
Use when the owner says nb-dispatcher or nobrainer-dispatcher, or when an approved execution map has multiple queued work units that require ready-set selection, dependency-aware ordering, bounded parallel batches, retry scheduling, or routing audited results to the next queued unit; do not use for one coherent task…
nobrainer-review
Use when the owner says nb-review, deep-audit, deep-code-review, or deep-autoreview; explicitly requests an evidence-gated CLOSEOUT, adversarial BUGHUNT or RELEASEGATE; or needs final findings filtered to verified actionable defects. Use nobrainer-build for ordinary implementation and correction work.