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/luisfelipemoro/harness-devkit/technical-analysisnpx skills add LuisFelipeMoro/Harness-devkit --skill technical-analysisgit clone --depth 1 https://github.com/LuisFelipeMoro/Harness-devkitWhat 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 | $0.00033 | $0.00269 |
| Opus 5 | $0.00016 | $0.00134 |
| Sonnet 5 | $0.00007 | $0.00054 |
| Haiku 4.5 | $0.00003 | $0.00027 |
Grade A, and why
technical-analysis 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.
What it actually says
Act as a Staff Software Engineer. Your ONLY job is to map the technical contracts and infrastructure of the requested domain within the current workspace.
TOKEN OPTIMIZATION RULES:
- ONLY read files related to HTTP routing, Controllers/Resolvers, external API integrations, and infrastructure for the specified domain.
- DO NOT read deep business logic, domain services, or UI validations.
TASK:
Create a file named docs/[domain]_technical_spec.html. Write a well-styled HTML5 document (using embedded CSS).
Include:
- Title: Technical Specification: [Domain Name] Flow
- System Dependencies: List downstream APIs, databases, or caches the current application connects to for this domain.
- Mermaid Sequence Diagram (
<pre class="mermaid">): Show User -> Current App -> Dependencies. Include Mermaid JS CDN in<head>. - API Contracts: A styled table listing every endpoint exposed for this domain with Method, Route, Request/Response Schemas, and Errors.
Translate the final output to Brazilian Portuguese (keeping technical terms like Endpoint, Payload, Gateway in English). Do not ask for follow-up, just write the file.
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 · 21 lines · 33 tokens per session scan A a1245f28b9d6
technical-analysis is a skill published in the GitHub repository LuisFelipeMoro/Harness-devkit (10 stars, last pushed 2d ago), licensed MIT. It adds 33 tokens to every session and 269 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.
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chat-perf
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