Agent skill

Interceptor Research

by Hacker-Valley-Media in Hacker-Valley-Media/Interceptor

Deep web-research methodology for the interceptor browser surface — investigate a topic the way researchers, intelligence analysts, investigative journalists, private investigators, and OSINT…

Custom licenceAuto-check passedResearch & Science

Install Interceptor Research

skills CLI
$ npx skills add Hacker-Valley-Media/Interceptor --skill interceptor-research -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Hacker-Valley-Media/Interceptor interceptor-research --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Hacker-Valley-Media/Interceptor.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/interceptor-research .claude/skills/interceptor-research && rm -rf skills-src

Use ~/.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/

Facts

Skill name
interceptor-research
GitHub stars
522
Token cost
~3.8k tokens
SKILL.md length
740 words
Files
14 (incl. references)
Skills in repo
5
Repo updated
First seen
Licence
Custom licence

At a glance

Deep web-research methodology for the interceptor browser surface — investigate a topic the way researchers, intelligence analysts, investigative journalists, private investigators, and OSINT…

  • Works in 6 steps: Decompose first. Treat the question as… → Collect to disk first, synthesize last.… → Never silently skip a page. Walk the… → …
  • The task is research
  • SKILL.md covers Core principles, Pull the playbook any time, The source ledger… and The depth rubric — "what…, plus 4 more sections
  • Calls rg

What it does

Interceptor Research is an agent skill from Hacker-Valley-Media/Interceptor. Deep web-research methodology for the interceptor browser surface — investigate a topic the way researchers, intelligence analysts, investigative journalists, private investigators, and OSINT operators do, not 'read 3 links and summarize.' Use when the task is research, deep research, investigate, go deeper, be thorough/exhaustive, OSINT, due diligence, competitive analysis, literature review, background check, dig in, or 'find everything about X.' Drives interceptor-browser verbs…

Its SKILL.md is about 3.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 15 other files, including reference files (for example `references/extraction-craft.md`, `references/interceptor-leverage.md` and `references/operating-loop.md`).

It sits in Research & Science, covering Deep research, OSINT and Competitor analysis. It works with Model Context Protocol. The repository describes itself as: Browser automation and computer use for AI agents. One CLI and MCP server for your signed-in browser, native macOS apps, and real iPhones.

When your agent uses it

  • The task is research
  • Be thorough/exhaustive
  • Competitive analysis
  • Literature review

Example prompts

  • “read 3 links and summarize.”
  • “find everything about X.”
  • “/interceptor-research”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Decompose first. Treat the question as 5–10 sub-questions; each earns ≥1
  2. Collect to disk first, synthesize last. Stand up a ledger, save every page,
  3. Never silently skip a page. Walk the escalation chain
  4. Pivot. Every fact (name, file, date, handle, citation, domain) is the next
  5. Attribute, then attack. Every claim references a saved source; tag
  6. Honor the user's session. Use the signed-in browser; stay on public pages

What it can do on your machine

Read from SKILL.md and the folder at commit ab6772f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Shell commands in SKILL.md call:

    • rg

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Interceptor Research loads about 3.8k tokens when it runs, and up to ~9.3k if it reads all its reference files. Until then it costs about 207 tokens; SKILL.md has 740 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~207
When it runs · the whole SKILL.md, loaded when a task matches
~3.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~9.3k

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.

Safety

Auto-check passed

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.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 740 words (~3,838 tokens).

“A methodology skill layered on the browser surface. It teaches you how to investigate — the mechanical verbs live in interceptor-browser (references/command-catalog.md). Load that skill for flag-level detail; load this one when the task is to research a topic deeply…”

— opening of SKILL.md by Hacker-Valley-Media, Custom licence
name
interceptor-research
metadata.short-description
Deep web-research methodology + source ledger for the interceptor browser surface

Read the full SKILL.md on GitHub

Files

SKILL.md and 13 other files (references) in .agents/skills/interceptor-research of Hacker-Valley-Media/Interceptor.

  • SKILL.md
  • references/extraction-craft.md
  • references/interceptor-leverage.md
  • references/operating-loop.md
  • references/query-craft.md
  • references/source-playbooks.md
  • references/verification.md
  • workflows/build-source-ledger.md
  • workflows/deep-research-sweep.md
  • workflows/escalate-page.md
  • workflows/extract-from-page.md
  • workflows/pivot-chase.md
  • workflows/saturation-check.md
  • workflows/verify-and-attribute.md

Open the folder on GitHubat commit ab6772f

Compare with similar skills

Interceptor Research 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.

Interceptor Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Interceptor Research this skillHacker-Valley-Media/Interceptor522—~3.8kAutomated safety check: PassCustom licence
Intelligence Collection MethodologyRightNow-AI/openfang18k—~2.1kAutomated safety check: PassApache-2.0
Deep Researchsanjay3290/ai-skills4329 repos~683Automated safety check: NotesApache-2.0
Design Harnesstigerless-labs/design-harness230—~4.2kAutomated safety check: PassMIT
Rival Search MCPdamionrashford/RivalSearchMCP132—~796Automated safety check: PassMIT
Bmad Deep Recondelorenj/mcp-server-trello445—~2.3kAutomated safety check: PassMIT

Similar skills

  • Reference knowledge for open-source intelligence collection: the collection cycle, source reliability tiers, search query patterns and entity extraction.

    18k GitHub stars~2.1k tokensUpdated 3 mo ago
    Research & ScienceAuto-check passed
  • Deep Research

    sanjay3290/ai-skills

    Execute autonomous multi-step research using Google Gemini Deep Research Agent.

    432 GitHub starsUsed in 9 repos~683 tokens
    Research & ScienceAuto-check: notes
  • Design Harness

    tigerless-labs/design-harness

    A decision board for evidence-based calls — the human adjudicates, the agent runs the errands.

    230 GitHub stars~4.2k tokensUpdated 1 mo ago
    Research & ScienceAuto-check passed
  • Rival Search MCP

    damionrashford/RivalSearchMCP

    Deterministic deep research via RivalSearchMCP. An agent skill from damionrashford/RivalSearchMCP.

    132 GitHub stars~796 tokensUpdated today
    Research & ScienceAuto-check passed
  • Bmad Deep Recon

    delorenj/mcp-server-trello

    Decision-grade research, three ways: draft a deep-research prompt for the user to run in their own tool (ChatGPT, Gemini, Grok, Perplexity, …), process a finished research report — file it, distill…

    445 GitHub stars~2.3k tokensUpdated 16 days ago
    Research & ScienceAuto-check passed
  • Structured Research Workflow

    aiming-lab/MetaClaw

    A skill your agent uses when conducting research on a topic from scratch — literature review, competitive analysis, technical due diligence, or fact-finding.

    3.5k GitHub stars~249 tokensUpdated 4 mo ago
    Research & ScienceAuto-check passed

More from Hacker-Valley-Media/Interceptor

  • Interceptor Browser

    Hacker-Valley-Media/Interceptor

    Drive a signed-in Chrome / Brave / Safari session via the interceptor CLI: open/read pages, click, type, inspect DOM/text/network, automate rich browser editors and scene graphs, capture…

    522 GitHub stars~4.8k tokensUpdated 7 days ago
    Auto-check passed
  • Interceptor iOS

    Hacker-Valley-Media/Interceptor

    Drive any installed app on an owned, unlocked, Developer-Mode iPhone via interceptor ios : ref-tagged element trees, deterministic coordinate taps (click), reliable text entry (type/keys), scroll…

    522 GitHub stars~1.9k tokensUpdated 7 days ago
    Auto-check passed
  • Interceptor macOS

    Hacker-Valley-Media/Interceptor

    Drive native macOS apps via interceptor macos : AX trees, background click/type/keys/drag/scroll, occluded or minimized window capture, browser chrome, URL bars, OS dialogs, Apple Events, trusted OS…

    522 GitHub stars~2k tokensUpdated 7 days ago
    Auto-check passed
  • Interceptor

    Hacker-Valley-Media/Interceptor

    Choose the right Interceptor surface. An agent skill from Hacker-Valley-Media/Interceptor.

    522 GitHub stars~1.9k tokensUpdated 7 days ago
    Auto-check passed

Questions about Interceptor Research

What does Interceptor Research do?

Deep web-research methodology for the interceptor browser surface — investigate a topic the way researchers, intelligence analysts, investigative journalists, private investigators, and OSINT…. Interceptor Research is an agent skill from Hacker-Valley-Media/Interceptor.

When should I use Interceptor Research?

Interceptor Research fits situations like: the task is research; be thorough/exhaustive; competitive analysis; literature review.

How do I install Interceptor Research in Claude Code?

Run `npx skills add Hacker-Valley-Media/Interceptor --skill interceptor-research -a claude-code`. Or copy the skill folder (.agents/skills/interceptor-research in Hacker-Valley-Media/Interceptor) into .claude/skills/interceptor-research in your project. Claude Code loads it when a task matches its description.

How do I install Interceptor Research in Codex?

Run `npx skills add Hacker-Valley-Media/Interceptor --skill interceptor-research -a codex`. Or copy the skill folder (.agents/skills/interceptor-research in Hacker-Valley-Media/Interceptor) into .agents/skills/interceptor-research in your project. Codex loads it when a task matches its description.

Can I use Interceptor Research in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Hacker-Valley-Media/Interceptor --skill interceptor-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/interceptor-research, .gemini/skills/interceptor-research, .github/skills/interceptor-research and .opencode/skills/interceptor-research in your project.

What does Interceptor Research need to run?

Going by SKILL.md and its folder, Interceptor Research needs the command-line tools its instructions call (rg).

Does Interceptor Research access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Interceptor Research safe to install?

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.

What licence does Interceptor Research use?

Interceptor Research has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Interceptor Research use?

About 3.8k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.5k tokens, read only when the agent opens those files.

What are the alternatives to Interceptor Research?

Skills that share tags, products or a category with Interceptor Research: Intelligence Collection Methodology (RightNow-AI/openfang, 18k stars), Deep Research (sanjay3290/ai-skills, 432 stars), Design Harness (tigerless-labs/design-harness, 230 stars) and Rival Search MCP (damionrashford/RivalSearchMCP, 132 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Interceptor Research?

Hacker-Valley-Media (a GitHub organization) maintains it in Hacker-Valley-Media/Interceptor, which has 522 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 2, 2026.

Source: Hacker-Valley-Media/Interceptor on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.