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 magnus919/agent-skills --skill secure-software-engineeringgit clone --depth 1 https://github.com/magnus919/agent-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/magnus919/agent-skills/secure-software-engineering)<a href="https://agentmods.dev/skills/magnus919/agent-skills/secure-software-engineering"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/secure-software-engineering/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/magnus919/agent-skills/secure-software-engineering"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/secure-software-engineering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00081 | $0.01373 |
| Opus 5 | $0.00041 | $0.00687 |
| Sonnet 5 | $0.00016 | $0.00275 |
| Haiku 4.5 | $0.00008 | $0.00137 |
Grade A, and why
secure-software-engineering 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 9d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Secure Software Engineering
Build security into decisions before defects reach production. This is a prevention-oriented workflow, not a claim that a design or release is secure. Record assumptions, the evidence collected, residual risks, and the owner of any accepted exception.
When To Use
Use this skill to answer "How do we build this securely?" for a new feature, integration, service, API, tenant boundary, AI capability, or release. Start early and revisit affected decisions when architecture, data flows, dependencies, or threats change.
Do not use it for an authorized post-build assessment: use security-audit-methodology. Do not use it as a vulnerability scanner for an existing codebase; use an authorized scanning tool or specialist security assessment. Use spec-driven-development when the task is to formalize the resulting requirements and phase gates, and verification-methodology to make evidence-backed completion claims.
When not to use
Use multi-tenant-saas-architecture for the end-to-end tenant model, control/application-plane placement, commercial lifecycle, and SaaS operating architecture; this skill owns the threat model and enforceable isolation controls. Use capacity-and-cost-engineering for quantitative tenant demand, quota sizing, fairness, load/soak evidence, and unit-cost tradeoffs. Route privacy lifecycle and deletion-verification artifacts to privacy-engineering.
Workflow
- Requirements: identify assets, actors, harm, data classifications, regulatory or contractual constraints, and security outcomes. Write testable acceptance criteria before selecting controls.
- Threat model: map data flows and trust boundaries; state assumptions, abuse cases, mitigations, and residual risk. STRIDE is optional vocabulary, not an exhaustive method.
- Design: choose controls that fit the trust model, including server-side authorization, data isolation, safe failure behavior, and AI capability boundaries. Explain rejected alternatives.
- Implement: make each boundary enforceable in code and configuration; protect input, output, credentials, dependencies, logs, and operational paths.
- Review and release: verify controls with direct evidence, review changes for bypasses, preserve release evidence, and feed incidents or near misses into requirements and tests.
What ships with it
17 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.
- evals/evals.json 13 KB
- README.md 2.5 KB
- references/ai-llm-security.md 2.5 KB
- references/authentication-authorization.md 2.0 KB
- references/dependency-supply-chain.md 1.9 KB
- references/incident-learning.md 1.7 KB
- references/input-validation-data-handling.md 1.9 KB
- references/multi-tenant-isolation.md 9.3 KB
- references/release-evidence.md 1.9 KB
- references/secrets-lifecycle.md 1.8 KB
- references/secure-code-review.md 1.9 KB
- references/secure-logging-audit.md 1.8 KB
- references/security-requirements-threat-modeling.md 3.6 KB
- references/source-index.md 4.0 KB
- templates/lightweight-threat-model.md 2.3 KB
- templates/secure-code-review-checklist.md 2.0 KB
- templates/security-acceptance-criteria.md 2.2 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.
- 9d ago First seen · 73 lines · 81 tokens per session scan A 11bfc141a957
secure-software-engineering is a skill published in the GitHub repository magnus919/agent-skills (76 stars, last pushed yesterday), licensed MIT. It adds 81 tokens to every session and 1,373 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 2026-09-03.
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