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/shgrowth/om-superpowers/om-implement-specnpx skills add SHGrowth/om-superpowers --skill om-implement-specgit clone --depth 1 https://github.com/SHGrowth/om-superpowersWrote 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/shgrowth/om-superpowers/om-implement-spec)<a href="https://agentmods.dev/skills/shgrowth/om-superpowers/om-implement-spec"><img src="https://agentmods.dev/badge/skills/shgrowth/om-superpowers/om-implement-spec.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 | $0.00072 | $0.03630 |
| Opus 5 | $0.00036 | $0.01815 |
| Sonnet 5 | $0.00014 | $0.00726 |
| Haiku 4.5 | $0.00007 | $0.00363 |
Grade A, and why
om-implement-spec 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 5d 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 — 249 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Implement Spec Skill
Implements a specification (or selected phases) end-to-end using a team of coordinated subagents. Every code change MUST pass the code-review checklist before the phase is considered done.
Task Router (engineering specialty references)
Load only the reference you need. Never load all at once.
| Task / trigger | Load |
|---|---|
| Creating a new module ("create module", "new module", "scaffold module") | references/module-scaffold/module-scaffold.md |
| Designing entities or migrations ("design entity", "data model", "schema", "migration") | references/data-model-design/data-model-design.md |
| Extending an existing module via UMES ("extend", "add column to", "intercept", "override component") | references/system-extension/system-extension.md |
| Module ejection (last-resort fork) ("eject", "should I eject", "fork module") | references/system-extension/eject.md |
| Building an integration provider package ("build integration", "add provider", "new connector") | references/integration-builder/integration-builder.md |
Pre-Flight
- Identify the spec: Locate the target spec file(s) in
.ai/specs/or.ai/specs/enterprise/. - Load context: Read spec fully. Read all AGENTS.md files listed in the Task Router that match the affected modules/packages.
- Load code-review checklist: Read
skills/om-code-review/references/review-checklist.md— this is the acceptance gate for every phase. - Load DS references (if the spec touches UI): Read
om-ds-guardian/references/component-guide.md(which primitive to pick),page-templates.md(canonical List/Create/Detail templates), andtoken-mapping.md(semantic tokens). All emitted UI code MUST follow these —om-auto-review-prinvokesom-ds-guardian REVIEWon every PR and will flag raw HTML controls, hardcoded colors, arbitrary text sizes, etc. - Load lessons: Read
.ai/lessons.mdfor known pitfalls. - Scope phases: If the user specifies phases (e.g. "phases e-h"), filter to only those. Otherwise implement all phases sequentially.
What ships with it
15 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.
- references/code-review-compliance.md 2.1 KB
- references/data-model-design/data-model-design.md 14 KB
- references/data-model-design/entity-patterns.md 7.1 KB
- references/data-model-design/mikro-orm-cheatsheet.md 3.0 KB
- references/integration-builder/adapter-contracts.md 20 KB
- references/integration-builder/integration-builder.md 27 KB
- references/integration-builder/integration-templates.md 17 KB
- references/module-scaffold/module-scaffold.md 19 KB
- references/module-scaffold/module-templates.md 11 KB
- references/module-scaffold/naming-conventions.md 2.4 KB
- references/module-scaffold/navigation-patterns.md 4.8 KB
- references/system-extension/eject.md 11 KB
- references/system-extension/extension-contracts.md 7.4 KB
- references/system-extension/extension-templates.md 18 KB
- references/system-extension/system-extension.md 31 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.
- 5d ago First seen · 249 lines · 72 tokens per session scan A 5ef00e270d45
om-implement-spec is a skill published in the GitHub repository SHGrowth/om-superpowers (6 stars, last pushed yesterday), licensed MIT. It adds 72 tokens to every session and 3,630 once invoked, about $0.0004 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
imagegen
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…