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 okwinds/miscellany --skill skill-create-flowgit clone --depth 1 https://github.com/okwinds/miscellanyWrote 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/okwinds/miscellany/skill-create-flow)<a href="https://agentmods.dev/skills/okwinds/miscellany/skill-create-flow"><img src="https://agentmods.dev/badge/skills/okwinds/miscellany/skill-create-flow/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/okwinds/miscellany/skill-create-flow"><img src="https://agentmods.dev/badge/skills/okwinds/miscellany/skill-create-flow.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00063 | $0.01538 |
| Opus 5.5 | $0.00025 | $0.00615 |
| Sonnet 5.5 | $0.00013 | $0.00308 |
| Haiku 4.5 | $0.00006 | $0.00154 |
Grade A, and why
skill-create-flow 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 2mo 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 — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Create Flow
Build a new skill using a repeatable, high-signal workflow that separates methodology discovery from packaging**—without requiring any other skills to be installed or invoked.
Best for
This workflow excels at creating procedural agent skills where the value comes from following a structured methodology rather than raw knowledge retrieval.
Ideal skill types:
- Methodology-based: Debugging, code reviews, writing specs, systematic problem-solving
- Decision-heavy: Architecture decisions, UX design, business strategy, negotiation
- Multi-step workflows: Defined sequence of operations with clear deliverables
- Quality-focused: Where "excellent vs mediocre" output is distinguishable
Less ideal for:
- Pure reference/lookup skills (use knowledge retrieval instead)
- Simple one-shot commands (use direct tool invocation instead)
- Skills requiring external dependencies (this flow produces standalone skills)
Scope & Outputs
You are producing a new skill folder (with its own SKILL.md and optional bundled resources). This flow helps you:
- Narrow the intent until “excellent vs mediocre” is judgeable.
- Extract expert frameworks (when needed).
- Generate a production-ready, testable skill spec and artifacts.
Target artifacts (recommended)
SKILL.mdexamples/(1 tiny example)tests/(3–5 eval prompts or scenarios)index_entry.json(if you maintain a skill index)CHANGELOG.md(optional but helpful for iteration)
Decision Rules (Pick the Track)
Track A — Non-technical / judgment-heavy (default if unsure)
Examples: writing, sales, hiring, product decisions, strategy, negotiation.
Use the full flow below (steps 1–6).
Track B — Technical / objective correctness dominates
Examples: code generation patterns, CLI automation, infrastructure scripts, data pipelines.
Usually shorten Step 2 (“expert frameworks”) and spend more time on Step 5 (“validation”).
Workflow (Standalone)
What ships with it
2 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.
- 2mo ago First seen · 187 lines · 63 tokens per session scan A bf554b36044f
skill-create-flow is a skill published in the GitHub repository okwinds/miscellany (50 stars, last pushed 5mo ago), licensed MIT. It adds 63 tokens to every session and 1,538 once invoked, about $0.0003 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.
skill-create-flow compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| skill-create-flowokwinds/miscellany | Skill | 50 | 5mo ago | MIT | A | 63 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |