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 cnfeat/top-pm-skills --skill technical-spec-templategit clone --depth 1 https://github.com/cnfeat/top-pm-skillsWrote 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/cnfeat/top-pm-skills/technical-spec-template)<a href="https://agentmods.dev/skills/cnfeat/top-pm-skills/technical-spec-template"><img src="https://agentmods.dev/badge/skills/cnfeat/top-pm-skills/technical-spec-template/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/cnfeat/top-pm-skills/technical-spec-template"><img src="https://agentmods.dev/badge/skills/cnfeat/top-pm-skills/technical-spec-template.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 | $0.00066 | $0.01362 |
| Opus 5 | $0.00033 | $0.00681 |
| Sonnet 5 | $0.00013 | $0.00272 |
| Haiku 4.5 | $0.00007 | $0.00136 |
Grade A, and why
technical-spec-template 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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Technical Spec Template Skill
Write technical specifications that engineers actually read — clear problem framing, unambiguous requirements, explicit decisions, and documented trade-offs.
Required Inputs
Ask the user for these if not provided:
- Feature or system description (what needs to be specced)
- Related PRD or product brief (if available)
- Engineering reviewers (whose sign-off is needed)
- Known constraints (technical limitations, security requirements, performance targets)
When to Write a Tech Spec
Write a tech spec when:
- The feature requires changes to 2+ systems
- There are significant architectural decisions to make
- More than one engineer will work on the implementation
- The feature has security, privacy, or compliance implications
- Estimated effort is >5 story points
Skip the spec for trivial bug fixes or 1-2 hour changes.
Technical Spec Output Format
Technical Specification — [Feature Name]
Author: [Name] Status: Draft | In Review | Approved | Implemented Created: [Date] | Last Updated: [Date] Reviewers: [Eng Lead, Architect, PM, Security if needed] Related PRD: [Link] | Jira Epic: [Link]
1. Problem Statement
[2–3 sentences. What problem are we solving and why now? No solution language here.]
2. Goals & Non-Goals
Goals (in scope):
- [Specific, measurable outcome]
- [Specific, measurable outcome]
Non-Goals (explicitly out of scope):
- [What this spec does NOT cover]
- [Common assumption to shut down early]
3. Background & Context
[Any prior art, related systems, or context engineers need to understand the decision space. Link to previous specs, ADRs, or research.]
4. Proposed Solution
High-Level Approach: [2–4 sentences describing the chosen solution. Why this approach vs alternatives?]
System Architecture Diagram: [Describe or embed: which services are involved, how data flows, what APIs are called]
Data Model Changes:
-- New tables or schema changes
[Include DDL or schema definition]
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 · 158 lines · 66 tokens per session scan A 25c363935b66
technical-spec-template is a skill published in the GitHub repository cnfeat/top-pm-skills (48 stars, last pushed 2mo ago), licensed MIT. It adds 66 tokens to every session and 1,362 once invoked, about $0.0003 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 2026-09-03.
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