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 uthumany/uthy-legacy-os --skill technical-spec-bridgegit clone --depth 1 https://github.com/uthumany/uthy-legacy-osWrote 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/uthumany/uthy-legacy-os/technical-spec-bridge)<a href="https://agentmods.dev/skills/uthumany/uthy-legacy-os/technical-spec-bridge"><img src="https://agentmods.dev/badge/skills/uthumany/uthy-legacy-os/technical-spec-bridge/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/uthumany/uthy-legacy-os/technical-spec-bridge"><img src="https://agentmods.dev/badge/skills/uthumany/uthy-legacy-os/technical-spec-bridge.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 | $0.00030 | $0.01361 |
| Opus 5 | $0.00015 | $0.00681 |
| Sonnet 5 | $0.00006 | $0.00272 |
| Haiku 4.5 | $0.00003 | $0.00136 |
Grade A, and why
technical-spec-bridge 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 10d 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 — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Technical Spec Bridge
Overview
The gap between "what users need" and "what engineers build" is where miscommunication happens. A technical spec bridge translates product requirements into engineering-ready specifications: API contracts, data models, state machines, error handling, and non-functional requirements. This skill helps PMs work effectively with engineering by providing the right level of technical detail.
When to Use
- Handing off PRDs to engineering for implementation
- Writing API specifications for new features
- Defining data models and schema changes
- Scoping technical work for estimation
- Don't use for: overriding engineering design decisions (specs are guidance), front-end only changes (design specs may be sufficient)
Instructions
1. Map Product Requirements to Technical Components
For each requirement in the PRD, identify:
- Data model: What new entities or fields are needed?
- API endpoints: What needs to be created or modified?
- Business logic: What rules need to be implemented?
- UI components: What new screens or components?
- Integrations: What external services need to be connected?
2. Define API Contracts
For each API endpoint that needs to change:
## [Method] /api/[resource]
- **Purpose**: What this endpoint does
- **Auth**: What authentication is required
- **Request**:
- Query params: [name, type, required, description]
- Body: [field, type, required, description]
- **Response (200)**:
- [field, type, description]
- **Error responses**:
- 400: [when it occurs]
- 401: [when it occurs]
- 403: [when it occurs]
- 404: [when it occurs]
- 500: [when it occurs]
- **Rate limiting**: [limits if applicable]
3. Document Data Models
Define entities and their relationships:
## [Entity Name]
- **id**: UUID, primary key
- **name**: string, required, max 100 chars
- **status**: enum(pending, active, archived), default: pending
- **created_by**: FK → users.id, required
- **Relationships**:
- belongs_to :team
- has_many :updates
- has_many :members through: :team_memberships
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.
- 10d ago First seen · 167 lines · 30 tokens per session scan A 416a87d86637
technical-spec-bridge is a skill published in the GitHub repository uthumany/uthy-legacy-os (5 stars, last pushed 3mo ago), licensed MIT. It adds 30 tokens to every session and 1,361 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 2026-08-31.
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…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…