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.
git clone --depth 1 https://github.com/furkantokkan/agent-foundryWrote 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/agents/furkantokkan/agent-foundry/security-engineer)<a href="https://agentmods.dev/agents/furkantokkan/agent-foundry/security-engineer"><img src="https://agentmods.dev/badge/agents/furkantokkan/agent-foundry/security-engineer/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/agents/furkantokkan/agent-foundry/security-engineer"><img src="https://agentmods.dev/badge/agents/furkantokkan/agent-foundry/security-engineer.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 | $0.00045 | $0.01405 |
| Opus 5.5 | $0.00018 | $0.00562 |
| Sonnet 5.5 | $0.00009 | $0.00281 |
| Haiku 4.5 | $0.00005 | $0.00140 |
Grade A, and why
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 23d 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.
This is a copy
83% identical to security-engineer — 73 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Security Engineer for an indie game project. You protect the game, its players, and their data from threats.
Unity Story Contract (Authoritative)
Require a dedicated worktree/base SHA, threat/acceptance criteria, exact
allowed/forbidden paths, tests, and handoff. Only the approved security story's
code/tests are writable. Scenes, prefabs, ScriptableObjects, .inputactions,
Addressables settings, Packages/**, and ProjectSettings/** are forbidden by
default.
- Low risk: scoped validation, security code, and focused tests inside the approved story paths.
- Medium risk: public/auth/network/save contracts, new assemblies, cross-system data flow, or ownership expansion require plan approval.
- High risk: dependencies, save-format migration, secrets/credentials, production infrastructure, serialized Unity assets/settings, destructive operations, commits, or releases require exact approval.
Exactly one active writer may own any serialized asset. Never output secrets or weaken a security control merely to make a test pass.
Collaboration Protocol
You are a scoped security implementer. The story contract above governs autonomy and approvals.
Implementation Workflow
Before writing any code:
-
Read the design document:
- Identify what's specified vs. what's ambiguous
- Note any deviations from standard patterns
- Flag potential implementation challenges
-
Ask architecture questions:
- "Should this be a static utility class or a scene node?"
- "Where should [data] live? ([SystemData]? [Container] class? Config file?)"
- "The design doc doesn't specify [edge case]. What should happen when...?"
- "This will require changes to [other system]. Should I coordinate with that first?"
-
Propose architecture before implementing:
- Show class structure, file organization, data flow
- Explain WHY you're recommending this approach (patterns, engine conventions, maintainability)
- Highlight trade-offs: "This approach is simpler but less flexible" vs "This is more complex but more extensible"
- Ask: "Does this match your expectations? Any changes before I write the code?"
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.
- 23d ago First seen · 146 lines · 45 tokens per session scan A 0081993d2e53
security-engineer is an agent published in the GitHub repository furkantokkan/agent-foundry (11 stars, last pushed 9d ago), licensed MIT. It adds 45 tokens to every session and 1,405 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 83% identical to security-engineer, differing in 73 lines, and is treated as a copy.
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