Fla Ascend Performance
fla-org/flash-linear-attention
Guidelines for Ascend NPU kernel / Triton-Ascend backend performance work in the FLA repo.
Usar para modelar amenazas con metodología STRIDE. An agent skill from 686f6c61/alfred-dev.
$ npx skills add 686f6c61/alfred-dev --skill threat-model -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install 686f6c61/alfred-dev 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/686f6c61/alfred-dev.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/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/686f6c61/alfred-dev/tree/main/skills/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/686f6c61/alfred-dev/tree/main/skills/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 686f6c61/alfred-dev --skill threat-model -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install 686f6c61/alfred-dev threat-model --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/686f6c61/alfred-dev.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/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/686f6c61/alfred-dev/tree/main/skills/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 686f6c61/alfred-dev --skill threat-model -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install 686f6c61/alfred-dev threat-model --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/686f6c61/alfred-dev.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/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/686f6c61/alfred-dev/tree/main/skills/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/686f6c61/alfred-dev.git --path skills/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 686f6c61/alfred-dev --skill threat-model -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install 686f6c61/alfred-dev threat-model --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/686f6c61/alfred-dev.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/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/686f6c61/alfred-dev/tree/main/skills/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 686f6c61/alfred-dev 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 686f6c61/alfred-dev --skill threat-model -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/686f6c61/alfred-dev.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/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/686f6c61/alfred-dev/tree/main/skills/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 686f6c61/alfred-dev --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 686f6c61/alfred-dev threat-model --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/686f6c61/alfred-dev.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/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/686f6c61/alfred-dev/tree/main/skills/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-modelUsar para modelar amenazas con metodología STRIDE. An agent skill from 686f6c61/alfred-dev.
Threat Model is an agent skill from 686f6c61/alfred-dev. Usar para modelar amenazas con metodología STRIDE. También: análisis de amenazas, STRIDE, superficie de ataque, vectores de ataque, modelado de amenazas.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Security, covering Threat modeling. The repository describes itself as: Tu equipo de desarrolladores en un plugin. 10 agentes, 11 skills planas, 18 comandos /alfred-dev:. Memoria persistente, quality gates con evidencia y MCP local. The licence is MIT.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit be0b51e. 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.
No scripts in the folder and no shell commands in SKILL.md.
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 1.2k tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 613 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); files beside SKILL.md are not scanned.
The full file from 686f6c61/alfred-dev at commit be0b51e, republished under its MIT licence (© 686f6c61). 613 words, ~1,210 tokens.
.claude/skills/threat-model/SKILL.md (or your agent's skills folder).Este skill aplica la metodología STRIDE para identificar y clasificar amenazas de seguridad en el sistema. STRIDE es un modelo desarrollado por Microsoft que categoriza las amenazas en seis tipos, proporcionando un framework sistemático para no dejarse nada en el tintero.
El modelado de amenazas se hace idealmente al principio del desarrollo (cuando es más barato corregir), pero también es valioso como ejercicio periódico para sistemas existentes.
Identificar los componentes del sistema. Listar todos los elementos relevantes:
Generar diagrama de flujo de datos (DFD). Dibujar con Mermaid los flujos de datos entre componentes, identificando los límites de confianza (trust boundaries). Las amenazas suelen concentrarse en los puntos donde los datos cruzan un límite de confianza.
Aplicar STRIDE a cada componente. Para cada elemento del diagrama, evaluar las seis categorías:
| Categoría | Descripción | Pregunta clave |
|---|---|---|
| Spoofing (suplantación) | Un atacante se hace pasar por otro usuario o sistema. | Cómo se verifica la identidad en este punto? |
| Tampering (manipulación) | Un atacante modifica datos en tránsito o en reposo. | Cómo se garantiza la integridad de los datos? |
| Repudiation (repudio) | Un usuario niega haber realizado una acción. | Hay registro de auditoría fiable? |
| Information Disclosure (fuga de información) | Datos sensibles se exponen a quien no debería verlos. | Qué datos se exponen y a quién? |
| Denial of Service (denegación de servicio) | El sistema se vuelve inaccesible para usuarios legítimos. | Qué recursos se pueden agotar? |
| Elevation of Privilege (elevación de privilegios) | Un usuario obtiene permisos que no le corresponden. | Cómo se aplican los controles de acceso? |
Clasificar cada amenaza por riesgo. Usar una matriz de probabilidad e impacto:
Proponer mitigaciones para cada amenaza. Las mitigaciones deben ser concretas y accionables:
Priorizar por ratio riesgo/esfuerzo. Las mitigaciones de alto impacto y bajo esfuerzo van primero. Las de bajo impacto y alto esfuerzo se documentan pero se posponen.
Documentar el modelo. Destino canónico: docs/project/threat-model.md.
Si no existe, créalo con sync-project-docs. Parte de componentes y
flujos reales, no de una lista genérica. Usa templates/threat-model.md
como forma. Sustituye <!-- alfred-doc:scaffold --> por
<!-- alfred-doc:filled -->.
docs/project/threat-model.md con marcador filled.Registrar las amenazas identificadas y las mitigaciones propuestas en la memoria del proyecto con memory_log_decision. Esto permite hacer seguimiento del estado de las mitigaciones entre sesiones y detectar si aparecen nuevas superficies de ataque con la evolución del sistema.
© 686f6c61, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/threat-model of 686f6c61/alfred-dev.
Open the folder on GitHubat commit be0b51e
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 skill686f6c61/alfred-dev | 117 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Fla Ascend Performancefla-org/flash-linear-attention | 5.8k | — | ~6.3k | Automated safety check: Pass | MIT | |
| Forensifyalexgreensh/repo-forensics | 188 | — | ~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 | 157 | — | ~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.
wshobson/agents
Match identified threats to preventive, detective and corrective controls across network, application, data, endpoint and process layers to plan remediation.
686f6c61/alfred-dev
Protocolo de respuesta ante incidentes en produccion: triaje, mitigacion, causa raiz y postmortem.
686f6c61/alfred-dev
This skill should be used when the user asks to record a design decision, search past project decisions, inspect the Alfred memory timeline, or work with the alfred-memory MCP server.
686f6c61/alfred-dev
Crear pull requests completas con descripcion, labels y reviewers
686f6c61/alfred-dev
Levantar SonarQube con Docker, analizar el código y proponer mejoras.
686f6c61/alfred-dev
Abrir y operar el companion visual de Selina para elegir una direccion de estilo en proyectos con interfaz.
686f6c61/alfred-dev
Usar para sincronizar la documentación viva del proyecto después de una fase.
Categories
Usar para modelar amenazas con metodología STRIDE. An agent skill from 686f6c61/alfred-dev. Threat Model is an agent skill from 686f6c61/alfred-dev. Usar para modelar amenazas con metodología STRIDE.
Threat Model fits situations like: tasks that involve Threat modeling.
Run `npx skills add 686f6c61/alfred-dev --skill threat-model -a claude-code`. Or copy the skill folder (skills/threat-model in 686f6c61/alfred-dev) into .claude/skills/threat-model in your project. Claude Code loads it when a task matches its description.
Run `npx skills add 686f6c61/alfred-dev --skill threat-model -a codex`. Or copy the skill folder (skills/threat-model in 686f6c61/alfred-dev) 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 686f6c61/alfred-dev --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.
SKILL.md names no scripts, command-line tools or credentials: Threat Model is instructions for the agent only.
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. Review the folder before installing.
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 1.2k tokens (SKILL.md is roughly 4.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
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, 188 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.
686f6c61 (a GitHub user) maintains it in 686f6c61/alfred-dev, which has 117 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on August 15, 2026.
Source: 686f6c61/alfred-dev on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.