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 JustineDevs/premortem --skill threat-modelinggit clone --depth 1 https://github.com/JustineDevs/premortemWrote 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/justinedevs/premortem/threat-modeling)<a href="https://agentmods.dev/skills/justinedevs/premortem/threat-modeling"><img src="https://agentmods.dev/badge/skills/justinedevs/premortem/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/justinedevs/premortem/threat-modeling"><img src="https://agentmods.dev/badge/skills/justinedevs/premortem/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 | $0.00117 | $0.02530 |
| Opus 5 | $0.00059 | $0.01265 |
| Sonnet 5 | $0.00023 | $0.00506 |
| Haiku 4.5 | $0.00012 | $0.00253 |
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 6d 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
95% identical to threat-modeling — 4 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 — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Threat Modeling
Adversarial design-time analysis: enumerate threats against a system and specify mitigations. This skill routes to methodology files, workflow runbooks, example libraries, and control-catalog references. Extended adversarial reasoning is the core value — spend thinking budget on threat enumeration.
When to Use
- New system or major architecture change needs security review.
- An OpenAPI / AsyncAPI spec exists and you want automatic STRIDE-per-interaction.
- Architecture docs or diagrams need threat analysis.
- A specific high-impact threat requires attack-tree deep dive.
- Privacy / personal-data handling needs threat analysis (LINDDUN).
- Mitigations need mapping to NIST CSF / NIST 800-53 / CIS / OWASP ASVS.
- Producing a threat model report for stakeholders / auditors.
- Prioritizing existing threat lists by risk score.
Trigger Phrases
- "threat model this application / service / API"
- "identify threats using STRIDE / PASTA / LINDDUN"
- "create a data flow diagram / DFD"
- "analyze the attack surface"
- "build an attack tree for X"
- "map these threats to NIST / ASVS / CIS controls"
When NOT to Use This Skill
- Runtime API testing / exploitation of a live endpoint → use
api-security(this skill identifies threats;api-securityconfirms exploitability). - Code-level vulnerability discovery in a repo (SAST/DAST/SCA) → use
sast-orchestration. - Container image CVE scanning → use
container-security. - Cloud posture misconfigurations → use
iac-security/ cloud-security skill. - Incident response on an active intrusion → this is design-time; use IR playbooks instead.
- Compliance gap analysis only (no threat enumeration) → use a compliance skill; thread results back here for design changes.
Decision Tree
1. Have an OpenAPI / AsyncAPI spec?
→ workflows/stride_from_openapi.md (highest-leverage entry point)
2. Have architecture docs or diagrams (or diagram images)?
→ workflows/stride_from_arch_docs.md
(if diagrams only, first workflows/dfd_creation.md)
3. Need a DFD from scratch?
→ workflows/dfd_creation.md (emit Mermaid)
4. Already have a high-level threat; need deep path analysis?
→ workflows/attack_tree_from_threat.md
5. Have threats; need mitigations + catalog mappings?
→ workflows/threat_to_mitigation.md
6. Privacy-specific modeling?
→ methodology/linddun.md
7. Enterprise-wide risk?
→ methodology/octave.md
8. Unsure which methodology?
→ references/framework_comparison.md
What ships with it
21 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.
- examples/attack_tree_banking.md 5.0 KB
- examples/bounty_patterns_2024_2026.md 5.8 KB
- examples/mermaid_dfd_templates.md 4.4 KB
- examples/stride_threat_library.md 5.2 KB
- methodology/attack_trees.md 3.5 KB
- methodology/dread.md 2.9 KB
- methodology/linddun.md 3.9 KB
- methodology/octave.md 3.4 KB
- methodology/pasta.md 2.7 KB
- methodology/stride.md 5.6 KB
- references/control_catalogs.md 5.1 KB
- references/framework_comparison.md 3.8 KB
- references/trust_boundary_patterns.md 5.6 KB
- schemas/finding.json 4.1 KB
- templates/stride_table.md 2.3 KB
- templates/threat_model_report.md 3.7 KB
- workflows/attack_tree_from_threat.md 3.8 KB
- workflows/dfd_creation.md 3.7 KB
- workflows/stride_from_arch_docs.md 3.4 KB
- workflows/stride_from_openapi.md 4.4 KB
- workflows/threat_to_mitigation.md 4.0 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.
- 6d ago First seen · 199 lines · 117 tokens per session scan A b1e0beab17a4
threat-modeling is a skill published in the GitHub repository JustineDevs/premortem (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 117 tokens to every session and 2,530 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to threat-modeling, differing in 4 lines, and is treated as a copy.
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