Builtin Agent Skill

CommunityPopular

samugit83

builtin-agent-skill

Adding a built-in Agent Skill (an attack technique like ssrf, xxe, rce) that ships hardcoded in RedAmon: classified by the Intent Router, injected into the agent prompt, toggled per project, badged in the chat drawer. Nine layers across agentic and webapp, two of which fail with no error. Trigger: adding or editing a built-in attack skill; a new agentic/prompts/<skill_id>_prompts.py; editing agentic/prompts/classification.py, agentic/prompts/__init__.py _inject_builtin_skill_workflow, KNOWN_ATTACK_PATHS in agentic/state.py, or the webapp AttackSkillsSection / AIAssistantDrawer.

Overview

Publisher	samugit83
Repository	`redamon`
Skill name	`builtin-agent-skill`
Stars	2.5K
Forks	504
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by samugit83 on GitHub. Read the source before you install it.

Installation

Install the Builtin Agent Skill AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/samugit83/redamon.git /tmp/redamon
mkdir -p .claude/skills
cp -r /tmp/redamon/skills/builtin-agent-skill .claude/skills/builtin-agent-skill

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Builtin Agent Skill in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Builtin Agent Skill on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Builtin Agent Skill is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

When to Use

Adding a first-class attack technique the agent classifies and follows a workflow for.

For a user-uploadable workflow, use add-community-skill instead. For a tool the agent calls, use agentic-tool-integration. For per-skill tunable defaults, use project-settings-cascade.

Critical Rules

ALWAYS add the skill id to KNOWN_ATTACK_PATHS in agentic/state.py. It is the Pydantic validator's allowlist; miss it and the classifier's output is rejected at runtime even though every other layer is wired.
NEVER skip layers 8 and 9 (the chat-drawer layers). They live in webapp and produce no error when forgotten: the skill classifies and badges, but the drawer tooltip and one-click example prompts are silently missing. Layer 8 = BUILT_IN_SKILLS in attack-skills/available/route.ts; Layer 9 = a SESubGroup in suggestionData.ts.
NEVER let classification keywords overlap an existing skill. Every enabled built-in competes for the same user message; overlapping keywords (e.g. saying "SQL" in an SSRF section) make both skills mis-route. Disambiguate in the "Key distinction" line of the section in classification.py.
ALWAYS gate the workflow on the required tool inside _inject_builtin_skill_workflow() (agentic/prompts/init.py:509): and "<tool>" in allowed_tools. Without the guard the agent gets instructions for a tool TOOL_PHASE_MAP blocks in that phase.
NEVER assume existing projects inherit the new skill. builtIn is a strict has-key check; existing projects need a jsonb update to attackSkillConfig.
ALWAYS add a registry entry for a per-skill tunable that became a Project column in recon_settings/registry.yaml. A test walking Prisma.ProjectScalarFieldEnum fails until every column has one. Draft it with python3 tooling/scripts/extract_recon_registry.py, edit it, then python3 recon_settings/build.py. An attack-skill tunable is ordinary mcp: settable tuning now, bounded by its registry entry and gated at scan start by roeForbiddenCategories, roeForbiddenTools and roeAllowDos rather than by being unreachable. Give it traffic: active so it joins the queued-job fingerprint, and roe_capped: true if its unit is rps.
Pick the snake_case id once and use that exact literal in all 9 layers. grep -rn "<skill_id>" webapp/src agentic must show it everywhere before you rebuild (an existing id like cve_exploit spans ~38 files).

The nine layers (all required end to end)

#	Layer	File
1	Workflow prompt	`agentic/prompts/<skill_id>_prompts.py`
2	Package re-export + `__all__`	agentic/prompts/init.py
3	Phase injection branch	`_inject_builtin_skill_workflow()` (same file)
4	Classification + validator	classification.py `_BUILTIN_SKILL_MAP` and `KNOWN_ATTACK_PATHS` in state.py
5	Settings default	`ATTACK_SKILL_CONFIG.builtIn` in agentic/project_settings.py
6	Prisma default	`attackSkillConfig` JSON in schema.prisma
7	UI toggle + badge	AttackSkillsSection.tsx + phaseConfig.ts
8	Drawer tooltip	attack-skills/available/route.ts `BUILT_IN_SKILLS`
9	Drawer example prompts	suggestionData.ts

Commands

bash
docker compose build agent && docker compose up -d agent   # agentic/ is baked
docker compose exec webapp npx prisma db push              # NEVER prisma migrate
# verify the id is wired everywhere before rebuild:
grep -rn "<skill_id>" webapp/src agentic

Resources

docs/readmes/coding_agent_prompts/PROMPT.ADD_BUILTIN_AGENT_SKILL.md - full per-layer walkthrough, tunable-design patterns, failure triage
Related skills: agentic-tool-integration, project-settings-cascade, add-community-skill

Frequently asked questions

What does the Builtin Agent Skill AI skill do?

Why use Builtin Agent Skill on TypingMind?

Because you install it once and use it with any model. Builtin Agent Skill is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Builtin Agent Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/samugit83/redamon/tree/master/skills/builtin-agent-skill. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Builtin Agent Skill?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Builtin Agent Skill?

As many as you like. As long as a model supports skills, you can use Builtin Agent Skill with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Builtin Agent Skill AI skill free?

Yes. It is published on GitHub by samugit83 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

When to Use

Critical Rules

The nine layers (all required end to end)

Commands

Resources

Frequently asked questions

Related AI Skills

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