Fla Ascend Performance
fla-org/flash-linear-attention
Guidelines for Ascend NPU kernel / Triton-Ascend backend performance work in the FLA repo.
Security threat modeling, attack surface mapping, and trust boundary analysis on a codebase.
$ npx skills add pproenca/dot-skills --skill threat-model -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install pproenca/dot-skills threat-model --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/pproenca/dot-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.experimental/threat-model .claude/skills/threat-model && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "threat-model" agent skill from https://github.com/pproenca/dot-skills/tree/master/skills/.experimental/threat-model into .claude/skills/threat-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "threat-model", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/pproenca/dot-skills/tree/master/skills/.experimental/threat-modelType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add pproenca/dot-skills --skill threat-model -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install pproenca/dot-skills threat-model --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pproenca/dot-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/.experimental/threat-model .agents/skills/threat-model && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "threat-model" agent skill from https://github.com/pproenca/dot-skills/tree/master/skills/.experimental/threat-model into .agents/skills/threat-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "threat-model", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add pproenca/dot-skills --skill threat-model -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install pproenca/dot-skills threat-model --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pproenca/dot-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/.experimental/threat-model .cursor/skills/threat-model && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "threat-model" agent skill from https://github.com/pproenca/dot-skills/tree/master/skills/.experimental/threat-model into .cursor/skills/threat-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "threat-model", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/pproenca/dot-skills.git --path skills/.experimental/threat-model--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add pproenca/dot-skills --skill threat-model -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install pproenca/dot-skills threat-model --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pproenca/dot-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/.experimental/threat-model .gemini/skills/threat-model && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "threat-model" agent skill from https://github.com/pproenca/dot-skills/tree/master/skills/.experimental/threat-model into .gemini/skills/threat-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "threat-model", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install pproenca/dot-skills threat-modelInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add pproenca/dot-skills --skill threat-model -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/pproenca/dot-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/.experimental/threat-model .github/skills/threat-model && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "threat-model" agent skill from https://github.com/pproenca/dot-skills/tree/master/skills/.experimental/threat-model into .github/skills/threat-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "threat-model", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add pproenca/dot-skills --skill threat-model -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install pproenca/dot-skills threat-model --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pproenca/dot-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/.experimental/threat-model .opencode/skills/threat-model && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "threat-model" agent skill from https://github.com/pproenca/dot-skills/tree/master/skills/.experimental/threat-model into .opencode/skills/threat-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "threat-model", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
threat-modelSecurity threat modeling, attack surface mapping, and trust boundary analysis on a codebase.
Threat Model is an agent skill from pproenca/dot-skills. Security threat modeling, attack surface mapping, and trust boundary analysis on a codebase. Triggers on 'threat model', 'security review', 'attack surface', 'trust boundaries', or when assessing a project's security posture. Also trigger when the user is about to build security-sensitive features (auth, crypto, file I/O, network services, native bridges) and needs to understand the threat landscape first — even if they don't explicitly say "threat model." Also triggers on 'what changed' or 'diff analysis' for…
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 17 other files, including scripts and reference files (for example `config.json`, `gotchas.md` and `metadata.json`).
It sits in Security, covering Threat modeling. The repository describes itself as: A collection of AI agent skills following the Agent Skills open format. The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit cf93c57. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 2 files in scripts/ (Shell), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Threat Model loads about 1.7k tokens when it runs, and up to ~18k if it reads all its reference files. Until then it costs about 144 tokens; SKILL.md has 550 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from pproenca/dot-skills at commit cf93c57, republished under its MIT licence (© pproenca). 550 words, ~1,686 tokens.
.claude/skills/threat-model/SKILL.md (or your agent's skills folder). This skill also uses 14 other files; get the full folder from GitHub.Produces structured, evidence-backed security threat models for any codebase. Goes beyond surface enumeration by tracing untrusted data through actual code paths, clustering findings by root cause, and constructing exploit chains that combine individual findings into higher-severity attack paths.
Phase 0 (conditional): Diff Analysis — if git range provided, scope to changed code
Phase 1: Codebase Survey → Understand what the project is and does
Phase 2: Component Mapping → Identify components, data flows, and language bridges
Phase 3: Asset Identification → Determine what needs protecting
Phase 4: Trust Boundaries → Classify inputs by trust level, inventory entry points
Phase 5: Data Flow Tracing → Follow untrusted values from entry to sink ← key technique
Phase 6: Attack Surface Enum → Document surfaces with traced evidence
Phase 7: Pattern Clustering → Group 3+ similar findings by root cause
Phase 8: Exploit Chains → Combine findings into multi-step attack paths
Phase 9: Calibration → Rate with chain-adjusted and systemic severity
Phase 10: Output → Write structured THREAT-MODEL.mdscripts/trace-data-flows.sh <project-root> to inventory entry points and sinksscripts/scan-patterns.sh <project-root> for security-relevant code patternsThese techniques are the skill's core value — they encode analytical methods that produce findings the model wouldn't generate from general knowledge alone.
| Technique | When to Read | What It Adds |
|---|---|---|
| Data Flow Tracing | Phase 5 — always | Traces untrusted input from entry to sink through actual code. Produces evidence-backed findings instead of theoretical risks |
| Pattern Clustering | Phase 7 — after enumeration | Groups related findings by root cause. Recommends systemic fixes instead of individual patches |
| Exploit Chains | Phase 8 — after clustering | Combines findings into multi-step attack paths rated by terminal impact |
| Bridge Analysis | Phase 6 — when FFI/bridges found | Systematic checklist for cross-language boundaries (Swift↔C, Rust↔C, Rails↔NGINX) |
| Diff Analysis | Phase 0 — for incremental review | Scopes analysis to changed code, identifies regressions |
Produces two files (configurable via config.json):
findings.json — Structured, machine-readable findings. Source of truth. Consumed by threat-patch for automated remediation. Tracks finding state across runs (open → patched → verified → closed).THREAT-MODEL.md — Human-readable view generated from findings.json. 6 sections: Overview, Trust Boundaries, Attack Surfaces, Systemic Findings, Exploit Chains, Criticality Calibration.threat-model → findings.json → threat-patch (consumes findings, generates fixes)
↑ ↓
└── threat-model --diff (re-analyzes, updates finding status) ←── git commitsWhen findings.json exists from a prior run, the skill reads it to:
| Mode | Trigger | What It Does |
|---|---|---|
| Full analysis | "threat model this codebase" | Analyzes entire codebase, produces fresh findings.json + THREAT-MODEL.md |
| Diff analysis | "what changed since last review" / git range provided | Scopes to changed code, updates existing findings.json with new/resolved/regressed findings |
Diff mode is the daily driver for ongoing projects. Full mode runs once (or periodically).
| File | When to Read |
|---|---|
| references/methodology.md | Before starting — the 10-phase workflow |
| references/output-format.md | When writing output — 6-section template |
| references/findings-schema.md | When writing findings.json — structured schema |
| references/attack-patterns.md | When enumerating surfaces — technology patterns |
| references/techniques/ | During specific phases — analytical techniques |
© pproenca, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 14 other files (scripts, references) in skills/.experimental/threat-model of pproenca/dot-skills.
Open the folder on GitHubat commit cf93c57
Threat Model next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Threat Model this skillpproenca/dot-skills | 214 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Fla Ascend Performancefla-org/flash-linear-attention | 5.8k | — | ~5.6k | Automated safety check: Pass | MIT | |
| Forensifyalexgreensh/repo-forensics | 187 | — | ~2.5k | Automated safety check: Notes | Custom licence | |
| Create Rulecartography-cncf/cartography | 4.1k | — | ~3k | Automated safety check: Pass | Apache-2.0 | |
| Commit Security Scancodexstar69/bug-hunter | 519 | — | ~629 | Automated safety check: Pass | MIT | |
| Auditing Code For Vulnerabilitiestrilwu/secskills | 156 | — | ~3.2k | Automated safety check: Pass | MIT |
fla-org/flash-linear-attention
Guidelines for Ascend NPU kernel / Triton-Ascend backend performance work in the FLA repo.
alexgreensh/repo-forensics
Cross-agent self-inspection of your AI-agent stack. An agent skill from alexgreensh/repo-forensics.
cartography-cncf/cartography
Author a Cartography security rule (one or more Cypher Facts plus a Pydantic Finding output model) under cartography/rules/data/rules/.
codexstar69/bug-hunter
Scan code changes for security vulnerabilities using Bug Hunter-native artifacts and STRIDE context.
trilwu/secskills
Audit source code for exploitable vulnerabilities using threat-model-driven review, taint tracing, invariant checking, and variant analysis.
nordstjernen-web/northstar-browser
Audit browser-engine changes that process untrusted content or cross native-memory, origin, network, storage, extension, decoder, sandbox, or operating-system boundaries.
pproenca/dot-skills
Audio forensics and voice recovery guidelines for CSI-level audio analysis.
pproenca/dot-skills
Guided, scripted pipeline for running JSX/TSX/React codemods safely across large legacy codebases.
pproenca/dot-skills
Create well-structured RFCs and technical proposals for software projects.
pproenca/dot-skills
Developer-experience friction auditing and fixing — slow onboarding, repeated manual setup steps, missing bootstrap/reset/seed scripts, undiscoverable conventions.
pproenca/dot-skills
Turn a rough idea for a language into a complete, implementable specification — a DSL, query, config/data, template, or protocol language — by interviewing the author dimension by dimension until…
pproenca/dot-skills
Drafting Python Enhancement Proposals (PEPs) — proposing a Python language feature, a standard library change, an interoperability standard, or an informational/process document for the Python…
Categories
Security threat modeling, attack surface mapping, and trust boundary analysis on a codebase. Threat Model is an agent skill from pproenca/dot-skills. Security threat modeling, attack surface mapping, and trust boundary analysis on a codebase.
Threat Model fits situations like: security review; trust boundaries; assessing a projects security posture; the user is about to build security-sensitive features (auth.
Run `npx skills add pproenca/dot-skills --skill threat-model -a claude-code`. Or copy the skill folder (skills/.experimental/threat-model in pproenca/dot-skills) into .claude/skills/threat-model in your project. Claude Code loads it when a task matches its description.
Run `npx skills add pproenca/dot-skills --skill threat-model -a codex`. Or copy the skill folder (skills/.experimental/threat-model in pproenca/dot-skills) into .agents/skills/threat-model in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add pproenca/dot-skills --skill threat-model -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/threat-model, .gemini/skills/threat-model, .github/skills/threat-model and .opencode/skills/threat-model in your project.
Going by SKILL.md and its folder, Threat Model needs a shell for the scripts in its folder. Our summary lists: A Bash shell.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Threat Model is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 16k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Threat Model: Fla Ascend Performance (fla-org/flash-linear-attention, 5.8k stars), Forensify (alexgreensh/repo-forensics, 187 stars), Create Rule (cartography-cncf/cartography, 4.1k stars) and Commit Security Scan (codexstar69/bug-hunter, 519 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
pproenca (a GitHub user) maintains it in pproenca/dot-skills, which has 214 GitHub stars. The repository holds 182 skills in this directory. The repository was last updated on August 15, 2026.
Source: pproenca/dot-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.