Burp Scan
six2dez/burp-ai-agent
Burp Suite scanning via MCP tools — passive traffic analysis, active payload testing, OOB verification, and vulnerability reporting using Burp's proxy, HTTP sender, Collaborator, and scanner APIs.
Adding an LLM provider to RedAmon: the credential boundary (keys must never reach scan containers), prefix-routed model ids, and the provider registry.
$ npx skills add samugit83/redamon --skill llm-provider-integration -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install samugit83/redamon llm-provider-integration --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/samugit83/redamon.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/llm-provider-integration .claude/skills/llm-provider-integration && 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 "llm-provider-integration" agent skill from https://github.com/samugit83/redamon/tree/master/skills/llm-provider-integration into .claude/skills/llm-provider-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-provider-integration", 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/samugit83/redamon/tree/master/skills/llm-provider-integrationType 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 samugit83/redamon --skill llm-provider-integration -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install samugit83/redamon llm-provider-integration --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/samugit83/redamon.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/llm-provider-integration .agents/skills/llm-provider-integration && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "llm-provider-integration" agent skill from https://github.com/samugit83/redamon/tree/master/skills/llm-provider-integration into .agents/skills/llm-provider-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-provider-integration", 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 samugit83/redamon --skill llm-provider-integration -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install samugit83/redamon llm-provider-integration --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/samugit83/redamon.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/llm-provider-integration .cursor/skills/llm-provider-integration && 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 "llm-provider-integration" agent skill from https://github.com/samugit83/redamon/tree/master/skills/llm-provider-integration into .cursor/skills/llm-provider-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-provider-integration", 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/samugit83/redamon.git --path skills/llm-provider-integration--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 samugit83/redamon --skill llm-provider-integration -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install samugit83/redamon llm-provider-integration --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/samugit83/redamon.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/llm-provider-integration .gemini/skills/llm-provider-integration && 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 "llm-provider-integration" agent skill from https://github.com/samugit83/redamon/tree/master/skills/llm-provider-integration into .gemini/skills/llm-provider-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-provider-integration", 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 samugit83/redamon llm-provider-integrationInstalls 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 samugit83/redamon --skill llm-provider-integration -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/samugit83/redamon.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/llm-provider-integration .github/skills/llm-provider-integration && 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 "llm-provider-integration" agent skill from https://github.com/samugit83/redamon/tree/master/skills/llm-provider-integration into .github/skills/llm-provider-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-provider-integration", 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 samugit83/redamon --skill llm-provider-integration -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install samugit83/redamon llm-provider-integration --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/samugit83/redamon.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/llm-provider-integration .opencode/skills/llm-provider-integration && 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 "llm-provider-integration" agent skill from https://github.com/samugit83/redamon/tree/master/skills/llm-provider-integration into .opencode/skills/llm-provider-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-provider-integration", 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.
llm-provider-integrationAdding an LLM provider to RedAmon: the credential boundary (keys must never reach scan containers), prefix-routed model ids, and the provider registry.
LLM Provider Integration is an agent skill from samugit83/redamon. Adding an LLM provider to RedAmon: the credential boundary (keys must never reach scan containers), prefix-routed model ids, and the provider registry. A misrouted model id or a leaked key are the two failures this guards. Trigger: adding or editing an LLM provider; editing parsemodelprovider in agentic/orchestratorhelpers/llmsetup.py, the webapp provider-type registry, the userllmproviders model, or an LLM call site that passes an API key; a non-chat provider type (TypeSafe Jev) or a path that picks "any…
Its SKILL.md is about 1.1k 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 Penetration testing. It works with Model Context Protocol and OpenAI. The repository describes itself as: Open-source, self-hosted AI penetration testing framework: maps your attack surface into a graph, autonomously exploits it from a Kali sandbox with human approval gates, and… The licence is MIT.
Read from SKILL.md and the folder at commit d90c940. 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.
Shell commands in SKILL.md call:
dockerFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use docker, which can reach the network depending on how they are called.
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.
LLM Provider Integration loads about 1.1k tokens when it runs. Until then it costs about 139 tokens; SKILL.md has 391 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 samugit83/redamon at commit d90c940, republished under its MIT licence (© samugit83). 391 words, ~1,073 tokens.
.claude/skills/llm-provider-integration/SKILL.md (or your agent's skills folder).For a non-LLM external API tool, use agentic-tool-integration.
user_llm_providers rows and, in transit, on the wire
between webapp and agent. The recon / scan / MCP containers must never see
them. Do not thread a provider key through recon settings or container env.claude-* and bare OpenAI ids MUST carry a provider/<model> prefix, resolved by
parse_model_provider() at
agentic/orchestrator_helpers/llm_setup.py:67.
An unprefixed id routes to the wrong provider silently.user_llm_providers row as a chat LLM. A non-chat type
(today jev, the TypeSafe decision API) must be skipped by every path that
builds a chat model, or its token is sent to the wrong host: setup_llm's
custom branch builds ChatOpenAI(api_key=<row key>) with no base URL, which is
api.openai.com. Add the type to NON_CHAT_PROVIDER_TYPES in BOTH twins
(agentic/llm_builder.py, webapp/src/lib/llmProviderKinds.ts); use
chat_providers() / isChatProvider wherever rows are listed, counted, gated
or forwarded (the /api/models forward, the project LLM gate, the triage
preflight, the feature-model grid); and never let a stale custom/<id> fall
back to "the first provider" (custom_provider_or_fallback falls back only to
custom-capable types). setup_llm also refuses a non-chat type outright.agentic/jev_client.py is the only code that talks to api.typesafe.ai: a fixed
base URL, no redirects, fixed error texts. On the webapp, POST forces model,
URL and headers and allows one row per user; PUT and the test route refuse a
type change in either direction and ignore a body-supplied URL/headers for a
stored row, so a stored token can never be re-pointed at another host.| Invariant | Where | Failure if broken |
|---|---|---|
| Keys only in Postgres + webapp<->agent transit | webapp/prisma/schema.prisma user_llm_providers; agent settings fetch | key leaks into scan/MCP containers |
| Model id prefix routing | parse_model_provider() llm_setup.py:67 | model routes to the wrong provider |
docker compose build agent && docker compose up -d agent # agentic/ is baked
docker compose exec webapp npx prisma db push # provider schema changes (NEVER prisma migrate)agentic-tool-integration© samugit83, 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/llm-provider-integration of samugit83/redamon.
Open the folder on GitHubat commit d90c940
LLM Provider Integration 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 |
|---|---|---|---|---|---|---|
| LLM Provider Integration this skillsamugit83/redamon | 3k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Burp Scansix2dez/burp-ai-agent | 1.5k | — | ~6.4k | Automated safety check: Warn | MIT | |
| China AI Compliance AuditjnMetaCode/shellward | 140 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Burp MCP Vuln Checklangbyyi/CyberStrikeAI-SRC | 134 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Dast Automationhardw00t/ai-security-arsenal | 104 | — | ~2.2k | Automated safety check: Pass | None | |
| Screenshot BurpEncod3d-Sec/TORCH | 329 | 1 repos | ~1.9k | Automated safety check: Notes | MIT |
six2dez/burp-ai-agent
Burp Suite scanning via MCP tools — passive traffic analysis, active payload testing, OOB verification, and vulnerability reporting using Burp's proxy, HTTP sender, Collaborator, and scanner APIs.
jnMetaCode/shellward
按中国法规(网安法 / PIPL / 等保2.0 / 数据出境 / AI生成内容标识)审计一个 AI 项目的代码仓库,产出每条都带 文件:行 取证、经独立复核、经脚本校验的合规报告。当用户问「这个项目上线合不合规」「调用了 OpenAI/Claude 算不算数据出境」「要不要做 AI 标识」「帮我做合规自查/等保/PIPL 检查」时使用。Audit an AI project's…
langbyyi/CyberStrikeAI-SRC
Automate low-impact web vulnerability verification through Burp MCP.
hardw00t/ai-security-arsenal
Automated Dynamic Application Security Testing (DAST) using Playwright MCP plus standard OS pentest tooling.
Encod3d-Sec/TORCH
Capture a Burp Suite Repeater request/response as a PoC image (targets/<eng/poc/) by driving the Burp MCP + the Kali GUI.
Encod3d-Sec/TORCH
Opens a visible Chromium window on a Kali VM so an operator can complete a manual login or CAPTCHA while the agent watches and acts through the chrome-devtools MCP.
samugit83/redamon
Adding a Community Agent Skill: a Markdown attack-workflow file that users import from the catalog, which then competes in the Intent Router and is injected into the agent's system prompt.
samugit83/redamon
Adding partial-recon support for a tool: running a single pipeline phase on demand from the workflow graph, reading its inputs from the existing Neo4j graph and merging results back.
samugit83/redamon
Wiring a new tool the AI agent can call (not the recon pipeline): the tool registry, the phase map, the hardcoded dispatch chokepoint, and the duplicated execution paths that make a tool work in…
samugit83/redamon
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…
samugit83/redamon
Writing to the Neo4j attack-surface graph in RedAmon: the tenant-isolation MERGE key every entity node must carry, where graph methods live (mixins, not the client), and the schema places that must…
samugit83/redamon
Adding, removing or changing a tool on RedAmon's INBOUND MCP server, where external agents connect in with a personal access token.
Works with
Categories
Adding an LLM provider to RedAmon: the credential boundary (keys must never reach scan containers), prefix-routed model ids, and the provider registry. LLM Provider Integration is an agent skill from samugit83/redamon. Adding an LLM provider to RedAmon: the credential boundary (keys must never reach scan containers), prefix-routed model ids, and the provider registry.
LLM Provider Integration fits situations like: tasks that involve Penetration testing.
Run `npx skills add samugit83/redamon --skill llm-provider-integration -a claude-code`. Or copy the skill folder (skills/llm-provider-integration in samugit83/redamon) into .claude/skills/llm-provider-integration in your project. Claude Code loads it when a task matches its description.
Run `npx skills add samugit83/redamon --skill llm-provider-integration -a codex`. Or copy the skill folder (skills/llm-provider-integration in samugit83/redamon) into .agents/skills/llm-provider-integration 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 samugit83/redamon --skill llm-provider-integration -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/llm-provider-integration, .gemini/skills/llm-provider-integration, .github/skills/llm-provider-integration and .opencode/skills/llm-provider-integration in your project.
Going by SKILL.md and its folder, LLM Provider Integration needs the command-line tools its instructions call (docker). Our summary lists: Node.js; Docker.
SKILL.md contains no URLs. Its commands use docker, which can reach the network depending on how they are called. 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.
LLM Provider Integration is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.1k tokens (SKILL.md is roughly 4.3k 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 LLM Provider Integration: Burp Scan (six2dez/burp-ai-agent, 1.5k stars), China AI Compliance Audit (jnMetaCode/shellward, 140 stars), Burp MCP Vuln Check (langbyyi/CyberStrikeAI-SRC, 134 stars) and Dast Automation (hardw00t/ai-security-arsenal, 104 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
samugit83 (a GitHub user) maintains it in samugit83/redamon, which has 2,961 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 7, 2026.
Source: samugit83/redamon on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.