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 Miosa-osa/OSA --skill threat-modelinggit clone --depth 1 https://github.com/Miosa-osa/OSAWrote 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/miosa-osa/osa/threat-modeling)<a href="https://agentmods.dev/skills/miosa-osa/osa/threat-modeling"><img src="https://agentmods.dev/badge/skills/miosa-osa/osa/threat-modeling/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/miosa-osa/osa/threat-modeling"><img src="https://agentmods.dev/badge/skills/miosa-osa/osa/threat-modeling.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 | $0.00046 | $0.00422 |
| Opus 5.5 | $0.00018 | $0.00169 |
| Sonnet 5.5 | $0.00009 | $0.00084 |
| Haiku 4.5 | $0.00005 | $0.00042 |
Grade A, and why
threat-modeling 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 1mo 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
Threat Modeling
Workflow
- Read the system architecture and identify assets, entry points, actors and trust boundaries. Record assumptions you cannot verify.
- For each sensitive flow, construct a concrete misuse case with prerequisites, affected asset and observable failure.
- Choose a control with an owner and verification method, not just a framework label.
- Read the worked boundary example and map only supported behaviors to cyber_defense fixtures.
- Test relevant implementation paths and benign behavior; prioritize residual risks with evidence.
- Revisit the model when architecture or trust assumptions change. A successful generic lab does not validate the deployed application.
Worked example and prerequisites
Read references/workflow.md before execution. Use only registered OSA tools named in the frontmatter; command examples run through shell_execute. Check command -v for each external executable on the actual target. Optional packages, external collectors and vendor accounts are not bundled or presumed installed.
Evidence and completion
Return scope, prerequisites, exact checks, observed results, evidence paths, limitations, remediation, rollback and retest status. Mark unavailable checks as blocked or unverified. Preserve original evidence and report redacted copies where needed. Work within the authorized environment; do not silently expand to external targets.
Sources
Original OSA workflow and examples. Primary references are linked in the bundled workflow reference, so they remain available when this skill is installed separately. No third-party skill collection or rule pack is vendored.
What ships with it
2 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.
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.
- 1mo ago First seen · 40 lines · 46 tokens per session scan A dd84bcb8b894
threat-modeling is a skill published in the GitHub repository Miosa-osa/OSA (78 stars, last pushed 11d ago), licensed Apache-2.0. It adds 46 tokens to every session and 422 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-15.
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