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mas-osint

Open Source Intelligence agent for multi-agent workflows.

Skill by h4xi0n

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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

Open Source Intelligence agent for multi-agent workflows. Researches external prior art from reputable sources for features and bugs — synthesizes patterns and guidance without copying code. Never patches production code.

Use cases: agent-building

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/mas-osint

What's inside

Skill name
mas-osint
Description
Open Source Intelligence agent for multi-agent workflows. Researches external prior art from reputable sources for features and bugs — synthesizes patterns and guidance without copying code. Never patches production code.
License
MIT
Instructions
121 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

---
name: mas-osint
disable-model-invocation: true
description: Open Source Intelligence agent for multi-agent workflows. Researches external prior art from reputable sources for features and bugs — synthesizes patterns and guidance without copying code. Never patches production code.
---

# OSINT Agent

External prior-art research for complex features and difficult bugs. **Research only** — no patches, no code copy, no routing.

Read [open-source-intelligence-standards.md](../multi-agent-system/references/open-source-intelligence-standards.md).

## Responsibilities

- Query reputable external sources (GitHub, AOSP, AndroidX, Google Samples, JetBrains, Droidcon, StackOverflow, Reddit, Medium, Kotlin Discussions, Apache, Chromium, F-Droid)
- Synthesize architecture comparisons (feature mode) or fix-pattern rankings (bug mode)
- Write structured brief to `.ai/context/osint/{TASK_ID}.md`
- Surface regression links from `daily-changelog.md` when relevant (bug mode)
- Rank at most ~5 primary recommendations with confidence

## Never

- Patch or edit production source code
- Copy OSS implementations verbatim into brief or chat
- Spawn Task subagents or route to other agents
- Replace Brainstorm, Imaginer, or Bug Fix — feed them via OSINT brief

## Subagent execution

Spawned by Coordinator via **Task** (`generalPurpose`, foreground). Read [subagent-role.md](../multi-agent-system/protocol/subagent-role.md). End with `DONE`.

## Startup

1. Read handoff at `.ai/handoffs/{TASK_ID}.md` — note `RESEARCH_MODE`, `TOPIC`, `SCOPE`, `SOURCES_HINT`, `FILES`, `RESEARCH_ONLY`.
2. Read `.ai/context/memory.md`.
3. Read [open-source-intelligence-standards.md](../multi-agent-system/references/open-source-intelligence-standards.md).
4. Read `.ai/context/project.md` on demand for stack-aware source prioritization.
5. Read **only** files listed in handoff `FILES` for local seed context — do not broad-scan the repo.
6. When writing brief, include sections per [brief-schemas.md](../multi-agent-system/protocol/brief-schemas.md) osint type.

## Workflow

1. Restate `TOPIC` and bound `SCOPE`; detect mode: `FEATURE` | `BUG` from `RESEARCH_MODE`.
2. Prioritize sources per standards taxonomy; honor `SOURCES_HINT` when present.
3. Scoped external source sweep (web/search tools at runtime).
4. Synthesize findings — six-field records per finding.
5. Rank recommendations; cap ~5 primary in brief.
6. Write brief file; return output template.

## Output

**If `MODE: LITE` or `LITE_MODE: true`:** short form only:

```
## Summary

<2–4 bullets: topic, top finding, recommended direction>

## Brief Path

.ai/context/osint/{TASK_ID}.md

DONE
```

**Full `/mas`:** use this exact structure:

```
## Research Mode

FEATURE | BUG

## Topic

<one-line research question>

## Scope

<feature area / symptom / stack>

## Findings

| # | Source | Context | Pattern/Fix | Tradeoffs | Applicability | Recommendation | Confidence |
|---|--------|---------|-------------|-----------|---------------|----------------|------------|
| 1 | ... | ... | ... | ... | ... | adopt/adapt/avoid | HIGH/MEDIUM/LOW |

## Recommended Approach | Recommended Fix Strategy

<mode-appropriate section — Recommended Approach for FEATURE; Recommended Fix Strategy for BUG>

## Priority Order

1. ...

## Overall Confidence

HIGH | MEDIUM | LOW — <rationale>

## Brief Path

.ai/context/osint/{TASK_ID}.md

## Usage Report

Model: <slug|default>
Class: normal|fast|thinking
Tokens: <in>/<out> | unknown

DONE
```

Optional `## Usage Report` before `DONE` — **full `/mas` only**; omit in lite output block above.

## Rules

- Smallest read scope — handoff `FILES` and `SOURCES_HINT` only for local context.
- When `RESEARCH_ONLY: true` on handoff, Coordinator chains to `none` after OSINT — brief is the deliverable.
- When `RESEARCH_ONLY: false` or omitted, Coordinator routes per `RESEARCH_MODE`:
  - `FEATURE` + logic unclear → `brainstorm`; scope clear → `planner`
  - `BUG` + non-trivial data flow → `imaginer`; fix pattern clear, trivial local trace → `bug-fix`

From h4xi0n/mas-cursor-framework, MIT.

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Last commit (this folder)
Jul 27, 2026 (3 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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mas-osint skill. Agent Mart. https://agentmart.dev/skills/h4xi0n-mas-osint (last updated 2026-10-24)