Interceptor Research
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…
Reference knowledge for open-source intelligence collection: the collection cycle, source reliability tiers, search query patterns and entity extraction.
Install Intelligence Collection Methodology
$ npx skills add RightNow-AI/openfang --skill collector-hand-skill -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install RightNow-AI/openfang collector-hand-skill --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/RightNow-AI/openfang.git skills-src && mkdir -p .claude/skills && cp -r skills-src/crates/openfang-hands/bundled/collector .claude/skills/collector-hand-skill && 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 "collector-hand-skill" agent skill from https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-hands/bundled/collector into .claude/skills/collector-hand-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "collector-hand-skill", 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/RightNow-AI/openfang/tree/main/crates/openfang-hands/bundled/collectorType 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 RightNow-AI/openfang --skill collector-hand-skill -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install RightNow-AI/openfang collector-hand-skill --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RightNow-AI/openfang.git skills-src && mkdir -p .agents/skills && cp -r skills-src/crates/openfang-hands/bundled/collector .agents/skills/collector-hand-skill && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "collector-hand-skill" agent skill from https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-hands/bundled/collector into .agents/skills/collector-hand-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "collector-hand-skill", 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 RightNow-AI/openfang --skill collector-hand-skill -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install RightNow-AI/openfang collector-hand-skill --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RightNow-AI/openfang.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/crates/openfang-hands/bundled/collector .cursor/skills/collector-hand-skill && 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 "collector-hand-skill" agent skill from https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-hands/bundled/collector into .cursor/skills/collector-hand-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "collector-hand-skill", 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/RightNow-AI/openfang.git --path crates/openfang-hands/bundled/collector--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 RightNow-AI/openfang --skill collector-hand-skill -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install RightNow-AI/openfang collector-hand-skill --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RightNow-AI/openfang.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/crates/openfang-hands/bundled/collector .gemini/skills/collector-hand-skill && 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 "collector-hand-skill" agent skill from https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-hands/bundled/collector into .gemini/skills/collector-hand-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "collector-hand-skill", 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 RightNow-AI/openfang collector-hand-skillInstalls 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 RightNow-AI/openfang --skill collector-hand-skill -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/RightNow-AI/openfang.git skills-src && mkdir -p .github/skills && cp -r skills-src/crates/openfang-hands/bundled/collector .github/skills/collector-hand-skill && 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 "collector-hand-skill" agent skill from https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-hands/bundled/collector into .github/skills/collector-hand-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "collector-hand-skill", 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 RightNow-AI/openfang --skill collector-hand-skill -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install RightNow-AI/openfang collector-hand-skill --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RightNow-AI/openfang.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/crates/openfang-hands/bundled/collector .opencode/skills/collector-hand-skill && 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 "collector-hand-skill" agent skill from https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-hands/bundled/collector into .opencode/skills/collector-hand-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "collector-hand-skill", 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.
Facts
- Skill name
collector-hand-skill- GitHub stars
- 18k
- Token cost
- ~2.1k tokens
- SKILL.md length
- 547 words
- Files
- 2
- Skills in repo
- 68
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Reference knowledge for open-source intelligence collection: the collection cycle, source reliability tiers, search query patterns and entity extraction.
- Works in 6 steps: Planning: Define target, scope, and… → Collection: Gather raw data from open… → Processing: Extract entities,… → …
- Planning an open-source research collection on a company or topic
- SKILL.md covers OSINT Methodology, Entity Extraction Patterns, Knowledge Graph Best Practices and Change Detection Methodology, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
This is a knowledge skill for intelligence-style research from open sources. It lays out a six-stage collection cycle (planning, collection, processing, analysis, dissemination and feedback) and ranks sources in five tiers by reliability, from official and primary documents through institutional, professional and community sources to anonymous or unverified ones.
It supplies search query patterns for market intelligence, business intelligence, competitor analysis, person tracking and technology monitoring, and a list of entity types to extract: person, organization, product, event, financial figure, technology, location, and date or time. The description also names knowledge graphs, change detection and sentiment analysis as covered topics. The only bundled file is a HAND.toml configuration.
When your agent uses it
- Planning an open-source research collection on a company or topic
- Rating how reliable different source types are
- Building search queries for competitor or market research
- Extracting organizations, products and events from collected text
Example prompts
- “Plan an OSINT collection on a competitor's product launch and rank the source types by reliability.”
- “Write search queries to track announcements about a rival's roadmap.”
- “Extract the organizations, products and funding amounts from these press articles.”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Planning: Define target, scope, and collection requirements
- Collection: Gather raw data from open sources
- Processing: Extract entities, relationships, and data points
- Analysis: Synthesize findings, identify patterns, detect changes
- Dissemination: Generate reports, alerts, and updates
- Feedback: Refine queries based on what worked and what didn't
What it can do on your machine
Read from SKILL.md and the folder at commit acf2587. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are json and markdown).
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
Intelligence Collection Methodology loads about 2.1k tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 547 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.
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
The full file from RightNow-AI/openfang at commit acf2587, republished under its Apache-2.0 licence (© RightNow-AI). 547 words, ~2,123 tokens.
Download SKILL.mdSave it as
.claude/skills/collector-hand-skill/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- collector-hand-skill
- description
- Expert knowledge for AI intelligence collection — OSINT methodology, entity extraction, knowledge graphs, change detection, and sentiment analysis
- version
- 1.0.0
- runtime
- prompt_only
Intelligence Collection Expert Knowledge
OSINT Methodology
Collection Cycle
- Planning: Define target, scope, and collection requirements
- Collection: Gather raw data from open sources
- Processing: Extract entities, relationships, and data points
- Analysis: Synthesize findings, identify patterns, detect changes
- Dissemination: Generate reports, alerts, and updates
- Feedback: Refine queries based on what worked and what didn't
Source Categories (by reliability)
| Tier | Source Type | Reliability | Examples |
|---|---|---|---|
| 1 | Official/Primary | Very High | Company filings, government data, press releases |
| 2 | Institutional | High | News agencies (Reuters, AP), research institutions |
| 3 | Professional | Medium-High | Industry publications, analyst reports, expert blogs |
| 4 | Community | Medium | Forums, social media, review sites |
| 5 | Anonymous/Unverified | Low | Anonymous posts, rumors, unattributed claims |
Search Query Construction by Focus Area
Market Intelligence:
"[target] market share"
"[target] industry report [year]"
"[target] TAM SAM SOM"
"[target] growth rate"
"[target] market analysis"
"[target industry] trends [year]"Business Intelligence:
"[company] revenue" OR "[company] earnings"
"[company] CEO" OR "[company] leadership team"
"[company] strategy" OR "[company] roadmap"
"[company] partnerships" OR "[company] acquisition"
"[company] annual report" OR "[company] 10-K"
site:sec.gov "[company]"Competitor Analysis:
"[company] vs [competitor]"
"[company] alternative"
"[company] review" OR "[company] comparison"
"[company] pricing" site:g2.com OR site:capterra.com
"[company] customer reviews" site:trustpilot.com
"switch from [company] to"Person Tracking:
"[person name]" "[company]"
"[person name]" interview OR podcast OR keynote
"[person name]" site:linkedin.com
"[person name]" publication OR paper
"[person name]" conference OR summitTechnology Monitoring:
"[technology] release" OR "[technology] update"
"[technology] benchmark [year]"
"[technology] adoption" OR "[technology] usage statistics"
"[technology] vs [alternative]"
"[technology]" site:github.com
"[technology] roadmap" OR "[technology] changelog"Entity Extraction Patterns
Named Entity Types
- Person: Name, title, organization, role
- Organization: Company name, type, industry, location, size
- Product: Product name, company, category, version
- Event: Type, date, participants, location, significance
- Financial: Amount, currency, type (funding, revenue, valuation)
- Technology: Name, version, category, vendor
- Location: City, state, country, region
- Date/Time: Specific dates, time ranges, deadlines
Extraction Heuristics
- Person detection: Title + Name pattern ("CEO John Smith"), bylines, quoted speakers
- Organization detection: Legal suffixes (Inc, LLC), "at [Company]", domain names
- Financial detection: Currency symbols, "raised $X", "valued at", "revenue of"
- Event detection: Date + verb ("launched on", "announced at", "acquired")
- Technology detection: CamelCase names, version numbers, "built with", "powered by"
Knowledge Graph Best Practices
Entity Schema
{
"entity_id": "unique_id",
"name": "Entity Name",
"type": "person|company|product|event|technology",
"attributes": {
"key": "value"
},
"sources": ["url1", "url2"],
"first_seen": "timestamp",
"last_seen": "timestamp",
"confidence": "high|medium|low"
}Relation Schema
{
"source_entity": "entity_id_1",
"relation": "works_at|founded|competes_with|...",
"target_entity": "entity_id_2",
"attributes": {
"since": "date",
"context": "description"
},
"source": "url",
"confidence": "high|medium|low"
}Common Relations
| Relation | Between | Example |
|---|---|---|
| works_at | Person → Company | "Jane Smith works at Acme" |
| founded | Person → Company | "John Doe founded StartupX" |
| invested_in | Company → Company | "VC Fund invested in StartupX" |
| competes_with | Company → Company | "Acme competes with BetaCo" |
| partnered_with | Company → Company | "Acme partnered with CloudY" |
| launched | Company → Product | "Acme launched ProductZ" |
| acquired | Company → Company | "BigCorp acquired StartupX" |
| uses | Company → Technology | "Acme uses Kubernetes" |
| mentioned_in | Entity → Source | "Acme mentioned in TechCrunch" |
Change Detection Methodology
Show full SKILL.md (229 more words)Show less
Snapshot Comparison
- Store the current state of all entities as a JSON snapshot
- On next collection cycle, compare new state against previous snapshot
- Classify changes:
| Change Type | Significance | Example |
|---|---|---|
| Entity appeared | Varies | New competitor enters market |
| Entity disappeared | Important | Company goes quiet, product deprecated |
| Attribute changed | Critical-Minor | CEO changed (critical), address changed (minor) |
| New relation | Important | New partnership, acquisition, hiring |
| Relation removed | Important | Person left company, partnership ended |
| Sentiment shift | Important | Positive→Negative media coverage |
Significance Scoring
CRITICAL (immediate alert):
- Leadership change (CEO, CTO, board)
- Acquisition or merger
- Major funding round (>$10M)
- Product discontinuation
- Legal action or regulatory issue
IMPORTANT (include in next report):
- New product launch
- New partnership or integration
- Hiring surge (>5 roles)
- Pricing change
- Competitor move
- Major customer win/loss
MINOR (note in report):
- Blog post or press mention
- Minor update or patch
- Social media activity spike
- Conference appearance
- Job posting (individual)Sentiment Analysis Heuristics
When track_sentiment is enabled, classify each source's tone:
Classification Rules
- Positive indicators: "growth", "innovation", "breakthrough", "success", "award", "expansion", "praise", "recommend"
- Negative indicators: "lawsuit", "layoffs", "decline", "controversy", "failure", "breach", "criticism", "warning"
- Neutral indicators: factual reporting without strong adjectives, data-only articles, announcements
Sentiment Scoring
Strong positive: +2 (e.g., "Company wins major award")
Mild positive: +1 (e.g., "Steady growth continues")
Neutral: 0 (e.g., "Company releases Q3 report")
Mild negative: -1 (e.g., "Faces increased competition")
Strong negative: -2 (e.g., "Major data breach disclosed")Track rolling average over last 5 collection cycles to detect trends.
Report Templates
Intelligence Brief (Markdown)
# Intelligence Report: [Target]
**Date**: YYYY-MM-DD HH:MM UTC
**Collection Cycle**: #N
**Sources Processed**: X
**New Data Points**: Y
## Priority Changes
1. [CRITICAL] [Description + source]
2. [IMPORTANT] [Description + source]
## Executive Summary
[2-3 paragraph synthesis of new intelligence]
## Detailed Findings
### [Category 1]
- Finding with [source](url)
- Data point with confidence: high/medium/low
### [Category 2]
- ...
## Entity Updates
| Entity | Change | Previous | Current | Source |
|--------|--------|----------|---------|--------|
## Sentiment Trend
| Period | Score | Direction | Notable |
|--------|-------|-----------|---------|
## Collection Metadata
- Queries executed: N
- Sources fetched: N
- New entities: N
- Updated entities: N
- Next scheduled collection: [datetime]Source Evaluation Checklist
Before including data in the knowledge graph, evaluate:
- Recency: Published within relevant timeframe? Stale data can mislead.
- Primary vs Secondary: Is this the original source, or citing someone else?
- Corroboration: Do other independent sources confirm this?
- Bias check: Does the source have a financial or political interest in this claim?
- Specificity: Does it provide concrete data, or vague assertions?
- Track record: Has this source been reliable in the past?
If a claim fails 3+ checks, downgrade its confidence to "low".
© RightNow-AI, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in crates/openfang-hands/bundled/collector of RightNow-AI/openfang.
- SKILL.md
- HAND.toml
Open the folder on GitHubat commit acf2587
Compare with similar skills
Intelligence Collection Methodology 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 |
|---|---|---|---|---|---|---|
| Intelligence Collection Methodology this skillRightNow-AI/openfang | 18k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Interceptor ResearchHacker-Valley-Media/Interceptor | 522 | — | ~3.8k | Automated safety check: Pass | Custom licence | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Horizontal-Vertical Deep ResearchKKKKhazix/khazix-skills | 21k | — | ~2.1k | Automated safety check: Pass | MIT | |
| Rival Search MCPdamionrashford/RivalSearchMCP | 132 | — | ~796 | Automated safety check: Pass | MIT | |
| Bmad Deep Recondelorenj/mcp-server-trello | 445 | — | ~2.3k | Automated safety check: Pass | MIT |
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Categories
Questions about Intelligence Collection Methodology
What does Intelligence Collection Methodology do?
Reference knowledge for open-source intelligence collection: the collection cycle, source reliability tiers, search query patterns and entity extraction. This is a knowledge skill for intelligence-style research from open sources. It lays out a six-stage collection cycle (planning, collection, processing, analysis, dissemination and feedback) and ranks sources in five tiers by reliability, from official and primary documents through institutional, professional and community sources to anonymous or unverified ones.
When should I use Intelligence Collection Methodology?
Intelligence Collection Methodology fits situations like: planning an open-source research collection on a company or topic; rating how reliable different source types are; building search queries for competitor or market research; extracting organizations, products and events from collected text.
How do I install Intelligence Collection Methodology in Claude Code?
Run `npx skills add RightNow-AI/openfang --skill collector-hand-skill -a claude-code`. Or copy the skill folder (crates/openfang-hands/bundled/collector in RightNow-AI/openfang) into .claude/skills/collector-hand-skill in your project. Claude Code loads it when a task matches its description.
How do I install Intelligence Collection Methodology in Codex?
Run `npx skills add RightNow-AI/openfang --skill collector-hand-skill -a codex`. Or copy the skill folder (crates/openfang-hands/bundled/collector in RightNow-AI/openfang) into .agents/skills/collector-hand-skill in your project. Codex loads it when a task matches its description.
Can I use Intelligence Collection Methodology 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 RightNow-AI/openfang --skill collector-hand-skill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/collector-hand-skill, .gemini/skills/collector-hand-skill, .github/skills/collector-hand-skill and .opencode/skills/collector-hand-skill in your project.
What does Intelligence Collection Methodology need to run?
SKILL.md names no scripts, command-line tools or credentials: Intelligence Collection Methodology is instructions for the agent only.
Does Intelligence Collection Methodology 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 Intelligence Collection Methodology 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 Intelligence Collection Methodology use?
Intelligence Collection Methodology is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Intelligence Collection Methodology use?
About 2.1k tokens (SKILL.md is roughly 8.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Intelligence Collection Methodology?
Skills that share tags, products or a category with Intelligence Collection Methodology: Interceptor Research (Hacker-Valley-Media/Interceptor, 522 stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Horizontal-Vertical Deep Research (KKKKhazix/khazix-skills, 21k 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 Intelligence Collection Methodology?
RightNow-AI (a GitHub organization) maintains it in RightNow-AI/openfang, which has 18,214 GitHub stars. The repository holds 68 skills in this directory. The repository was last updated on July 2, 2026.
Source: RightNow-AI/openfang on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.