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हैकिंग, पेनटेस्ट और साइबर सुरक्षा उपकरण आपके सुरक्षा शस्त्रागार के लिए!

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security-harness — AI कोडिंग एजेंट्स के लिए मल्टी-एजेंट स्टैटिक एप्लिकेशन-सुरक्षा समीक्षा हार्नेस: कोडबेस को मैप करता है, भेद्यता वर्गों की खोज करता है, निष्कर्षों को श्रृंखलाबद्ध और सत्यापित करता है, और SARIF, JSON, तथा PDF में रिपोर्ट करता है। | Kitploit
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security-harness

AI कोडिंग एजेंट्स के लिए मल्टी-एजेंट स्टैटिक एप्लिकेशन-सुरक्षा समीक्षा हार्नेस: कोडबेस को मैप करता है, भेद्यता वर्गों की खोज करता है, निष्कर्षों को श्रृंखलाबद्ध और सत्यापित करता है, और SARIF, JSON, तथा PDF में रिपोर्ट करता है।

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indra: security agents, graph memory, and an agent console

indra CLI build MIT license Claude Code plugin Gemini CLI extension Linux, macOS and Windows

Website  ·  Docs  ·  Quick start  ·  Install  ·  Usage  ·  Memory & console  ·  PR review  ·  CLI docs

indra is a multi-agent application-security review harness for Claude Code and other AI agents. One request runs a team of specialist agents that map a codebase, hunt vulnerabilities with a per-class knowledge base, chain findings into escalations, verify real impact, and report to README, JSON, SARIF, HTML and PDF. Every run remembers what it learned, and the indra CLI gives you a web console to launch agents and watch them work.

/plugin marketplace add dmdhrumilmistry/indra
/plugin install indra@indra
/indra full security review of ./api

A review team

Recon, one hunter per vulnerability class in parallel, an exploit chainer, a verifier that refutes first, and a reporter. Each stage runs on the model its job needs.

Memory that compounds

indra mem keeps past findings, known guards and confirmed false positives as a graph of Markdown notes, and hands them to the next run's hunters.

Watch it work

indra serve shows every subagent, its tool calls, refused permissions and cost, live, on this machine or remote ones over SSH, and indra run orchestrates them.

The indra console following a live review: subagents, their tool calls, and a refused permission

Scope: indra performs static analysis (source review, data-flow tracing, PoC and payload construction) on code you own or are authorized to test. It does not attack live third-party systems.

What's inside

indra/                           # this repository: a plugin marketplace + the indra CLI
├── plugins/indra/               # the indra plugin
│   ├── skills/
│   │   ├── indra                # /indra - the entry point, routes any appsec request
│   │   ├── sh-security-review   # the pipeline orchestrator (stages 0-6)
│   │   ├── sh-pr-review         # review one pull request, post inline comments
│   │   ├── sh-memory            # long-term graph memory across runs
│   │   ├── sh-publish           # findings to Jira, Confluence, GitHub issues, Notion
│   │   └── sh-kb-*  (15)        # per-vulnerability-class knowledge bases
│   ├── agents/
│   │   ├── sh-recon             # map: code graph, stack, SBOM/CVE, attack surface
│   │   ├── sh-hunter            # find: source-to-sink hunting, one per class, in parallel
│   │   ├── sh-chainer           # escalate: combine findings into attack chains
│   │   ├── sh-verifier          # confirm: refute first, then prove impact with a PoC
│   │   └── sh-reporter          # deliver: README/JSON/SARIF/HTML/PDF/doc
│   └── references/              # shared contracts (finding schema, SARIF map, rubrics)
├── tools/indra/                 # the indra CLI (Rust): graph memory + agent web console
├── site/                        # the project website (GitHub Pages)
└── assets/                      # logo, banner and screenshots

Vulnerability classes covered (the sh-kb-* skills)

access-control (IDOR/BOLA/priv-esc) · sqli · xss · ssrf · injection (cmd/code/SSTI/LDAP) · auth (session/JWT) · deserialization · path-traversal (LFI/RFI) · secrets · csrf · xxe · open-redirect · crypto · race-conditions · file-upload. Dependency CVEs and the SBOM are handled by the recon stage.

Quick start

1. Get indra (one file; no Rust, Python or Node needed):

# Linux or macOS
curl -fsSL https://raw.githubusercontent.com/dmdhrumilmistry/indra/main/install.sh | sh
# Windows (PowerShell)
irm https://raw.githubusercontent.com/dmdhrumilmistry/indra/main/install.ps1 | iex

2. Open the console:

indra serve --open

That's it. The console opens in your browser: launch agents, watch them, read their results.

I want to...Run
Use the console (the "server")indra serve --open
Run agents on another machine tooinstall there the same way, then paste the line the console shows under Nodes > Add a machine
Run Claude Code on a local model (Ollama)indra claude -m qwen3-coder --pull
Give a team accounts and rolesindra user add alice (see users and roles)
Get the newest versionindra update (or indra update --auto on to stay up to date by itself)
Tab completion in my shellset up by the installer; else indra completions --install
Uninstalldelete the indra file (~/.local/bin/indra, or %LOCALAPPDATA%\Programs\indra on Windows)

It is one program for every role: the same file is the console on your laptop and the agent runner on a build box, so there is only ever one thing to install and keep up to date.

Install

The harness ships for several agents. Full packaging details and the release checklist are in docs/DISTRIBUTION.md.

Claude Code - add this repo as a plugin marketplace and install the plugin:

/plugin marketplace add dmdhrumilmistry/indra
/plugin install indra@indra

/plugin marketplace add accepts any of: a GitHub owner/repo (as above), a full git URL (https://github.com/dmdhrumilmistry/indra.git), or a local path to a clone (e.g. /plugin marketplace add ./indra from the directory containing your checkout). Then run /plugin install indra@indra and reload when prompted.

Gemini CLI - a native extension, manifest at the repo root:

gemini extensions install https://github.com/dmdhrumilmistry/indra

opencode, Codex, or any agentskills.io agent - copy the skills into a discovery directory. Codex additionally picks up AGENTS.md on its own:

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