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/thiagoguislotti/copilot-instructions/sec-api-performance-security-engineernpx skills add ThiagoGuislotti/copilot-instructions --skill sec-api-performance-security-engineergit clone --depth 1 https://github.com/ThiagoGuislotti/copilot-instructionsWrote 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/thiagoguislotti/copilot-instructions/sec-api-performance-security-engineer)<a href="https://agentmods.dev/skills/thiagoguislotti/copilot-instructions/sec-api-performance-security-engineer"><img src="https://agentmods.dev/badge/skills/thiagoguislotti/copilot-instructions/sec-api-performance-security-engineer.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 | $0.00053 | $0.00287 |
| Opus 5 | $0.00026 | $0.00143 |
| Sonnet 5 | $0.00011 | $0.00057 |
| Haiku 4.5 | $0.00005 | $0.00029 |
Grade A, and why
sec-api-performance-security-engineer 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.
What it actually says
API Performance Security Engineer
Load context first
.github/AGENTS.md.github/copilot-instructions.md.github/instructions/repository-operating-model.instructions.md
Instruction pack
.github/instructions/api-high-performance-security.instructions.md.github/instructions/backend.instructions.md.github/instructions/dotnet-csharp.instructions.md(when .NET is in scope).github/instructions/security-vulnerabilities.instructions.md
Claude-native execution
Run as a general-purpose agent within the Super Agent pipeline.
Execution workflow
- Define endpoint performance and abuse-control objectives.
- Apply request efficiency, query optimization, and caching controls.
- Enforce authentication, authorization, validation, and rate-limiting rules.
- Add resilience patterns and idempotency where retry is possible.
- Validate with performance, security, and vulnerability checks before release.
Validation examples
pwsh -File ./scripts/validation/validate-security-baseline.ps1
dotnet test --filter "Category=Unit"
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 · 38 lines · 53 tokens per session scan A 960c57745b12
sec-api-performance-security-engineer is a skill published in the GitHub repository ThiagoGuislotti/copilot-instructions (2 stars, last pushed 2mo ago), licensed MIT. It adds 53 tokens to every session and 287 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 2026-08-31.
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