builtin-agent-skill

builtin-agent-skill is a skill for Claude Code, Codex from samugit83/redamon. It costs 158 tokens per session (1,770 once invoked), scanned A, original, MIT.

A workflow for adding a built-in security attack technique to an AI agent, including its classification, instructions, project setting, and chat interface entry.

In plain words
What is it for?
It is for adding attack workflows such as SSRF, XXE, or RCE to the agent, with routing keywords, toggles, badges, tooltips, and example prompts.
Why use it?
It helps every part of the product recognize and expose the new technique, avoiding silent omissions that make it partly work.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It is for adding attack workflows such as SSRF, XXE, or RCE to the agent, with routing keywords, toggles, badges, tooltips, and example prompts.

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Install with agentmods
npx agentmods add skills/samugit83/redamon/builtin-agent-skill
About the project

RedAmon is an AI framework that connects reconnaissance, exploitation, and post-exploitation activities into an automated security-testing pipeline, while organizing findings and proposing code fixes. It is for authorized penetration testing, security research, and education. The catalogue entries provide skills and instructions for working with the framework.

samugit83/redamon · 3,170 stars · on GitHub · redamon.org

Install

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.

Any agent
npx skills add samugit83/redamon --skill builtin-agent-skill
Clone the repo
git clone --depth 1 https://github.com/samugit83/redamon

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for builtin-agent-skill

README.md
[![agentmods](https://agentmods.dev/badge/skills/samugit83/redamon/builtin-agent-skill/github.svg)](https://agentmods.dev/skills/samugit83/redamon/builtin-agent-skill)
Your own site
<a href="https://agentmods.dev/skills/samugit83/redamon/builtin-agent-skill"><img src="https://agentmods.dev/badge/skills/samugit83/redamon/builtin-agent-skill/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.

agentmods 80×15 button for builtin-agent-skill

Your own site · 80×15
<a href="https://agentmods.dev/skills/samugit83/redamon/builtin-agent-skill"><img src="https://agentmods.dev/badge/skills/samugit83/redamon/builtin-agent-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 158 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,770 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 77
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00158 $0.01770
Opus 5.5 $0.00063 $0.00708
Sonnet 5.5 $0.00032 $0.00354
Haiku 4.5 $0.00016 $0.00177

Measured 6d ago against content hash bdc98973af12, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

builtin-agent-skill 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.

skills/builtin-agent-skill/SKILL.md · 113 lines

How it starts

The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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 in the skill's branch of _build_builtin_skill_workflow_parts() (agentic/prompts/init.py:198), which the think node (_inject_builtin_skill_workflow()), fireteam members and LATS all reach through build_builtin_skill_workflow(): and "<tool>" in allowed_tools. Without the guard the agent gets instructions for a tool TOOL_PHASE_MAP blocks in that phase.
  • ALWAYS register the skill's static workflow parts in agentic/prompts/skill_parts.py and append each one through _seam.resolve_skill_part(skill_id, part_id, CONSTANT, kwargs) (kwargs only where the site calls .format; a block built from operator data stays a plain append and is not registered). That seam is where an approved plugin override of the text applies; an unregistered skill silently never gets one. The unit gate enforces it: test_skill_parts_registry.py fails for a skill in KNOWN_ATTACK_PATHS without parts, and test_skill_parts_seam.py:: test_registry_matches_call_sites fails for a block appended past the seam once the skill is in SKILLS (+ REQUIRED_TOOL) of agentic/tests/tools/record_skill_golden.py. Then re-record the golden fixture with the command in that file's docstring.
  • 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 10 layers. grep -rn "<skill_id>" webapp/src agentic must show it everywhere before you rebuild (an existing id like cve_exploit spans ~38 files).

Read the full file on GitHub · 113 lines

Changes

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.

  1. 6d ago Changed · +16 lines · +8 tokens per session bdc98973af12
  2. 1mo ago Changed c46ac9438515
  3. 1mo ago Changed · +11 lines 6d28ed24fa88
  4. 1mo ago First seen · 86 lines · 150 tokens per session scan A 5ff098f3da93

Subscribe to this mod's changes

builtin-agent-skill is a skill published in the GitHub repository samugit83/redamon (3,170 stars, last pushed yesterday), licensed MIT. It adds 158 tokens to every session and 1,770 once invoked, about $0.0006 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 2026-08-30.

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