2026 Legal Research Agent
curiositech/some_claude_skills
Expert legal research agent for finding and scraping expungement data state by state.
A data flow mapping tool that systematically maps personal information processing flows and identifies risk points.
Install Data Flow Mapper
$ npx skills add revfactory/harness-100 --skill data-flow-mapper -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install revfactory/harness-100 data-flow-mapper --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/revfactory/harness-100.git skills-src && mkdir -p .claude/skills && cp -r skills-src/en/69-privacy-engineer/.claude/skills/data-flow-mapper .claude/skills/data-flow-mapper && 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 "data-flow-mapper" agent skill from https://github.com/revfactory/harness-100/tree/main/en/69-privacy-engineer/.claude/skills/data-flow-mapper into .claude/skills/data-flow-mapper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-flow-mapper", 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/revfactory/harness-100/tree/main/en/69-privacy-engineer/.claude/skills/data-flow-mapperType 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 revfactory/harness-100 --skill data-flow-mapper -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install revfactory/harness-100 data-flow-mapper --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .agents/skills && cp -r skills-src/en/69-privacy-engineer/.claude/skills/data-flow-mapper .agents/skills/data-flow-mapper && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "data-flow-mapper" agent skill from https://github.com/revfactory/harness-100/tree/main/en/69-privacy-engineer/.claude/skills/data-flow-mapper into .agents/skills/data-flow-mapper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-flow-mapper", 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 revfactory/harness-100 --skill data-flow-mapper -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install revfactory/harness-100 data-flow-mapper --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/en/69-privacy-engineer/.claude/skills/data-flow-mapper .cursor/skills/data-flow-mapper && 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 "data-flow-mapper" agent skill from https://github.com/revfactory/harness-100/tree/main/en/69-privacy-engineer/.claude/skills/data-flow-mapper into .cursor/skills/data-flow-mapper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-flow-mapper", 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/revfactory/harness-100.git --path en/69-privacy-engineer/.claude/skills/data-flow-mapper--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 revfactory/harness-100 --skill data-flow-mapper -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install revfactory/harness-100 data-flow-mapper --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/en/69-privacy-engineer/.claude/skills/data-flow-mapper .gemini/skills/data-flow-mapper && 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 "data-flow-mapper" agent skill from https://github.com/revfactory/harness-100/tree/main/en/69-privacy-engineer/.claude/skills/data-flow-mapper into .gemini/skills/data-flow-mapper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-flow-mapper", 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 revfactory/harness-100 data-flow-mapperInstalls 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 revfactory/harness-100 --skill data-flow-mapper -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .github/skills && cp -r skills-src/en/69-privacy-engineer/.claude/skills/data-flow-mapper .github/skills/data-flow-mapper && 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 "data-flow-mapper" agent skill from https://github.com/revfactory/harness-100/tree/main/en/69-privacy-engineer/.claude/skills/data-flow-mapper into .github/skills/data-flow-mapper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-flow-mapper", 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 revfactory/harness-100 --skill data-flow-mapper -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install revfactory/harness-100 data-flow-mapper --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/en/69-privacy-engineer/.claude/skills/data-flow-mapper .opencode/skills/data-flow-mapper && 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 "data-flow-mapper" agent skill from https://github.com/revfactory/harness-100/tree/main/en/69-privacy-engineer/.claude/skills/data-flow-mapper into .opencode/skills/data-flow-mapper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-flow-mapper", 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
data-flow-mapper- GitHub stars
- 1.3k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 233 words
- Files
- 1
- Skills in repo
- 464
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
A data flow mapping tool that systematically maps personal information processing flows and identifies risk points.
- Data flow analysis
- SKILL.md covers Data Lifecycle Mapping Framework, Risk Point Identification…, Data Flow Diagram Creation and Risk Assessment Scoring, plus 1 more section
- Calls aws
- Processing activity mapping
What it does
Data Flow Mapper is an agent skill from revfactory/harness-100. A data flow mapping tool that systematically maps personal information processing flows and identifies risk points. The 'pia-assessor' and 'process-architect' agents must utilize this skill's mapping methodology and risk point identification patterns when analyzing data flows and designing protective measures. Use for 'data flow analysis', 'processing activity mapping', 'risk point identification', and similar tasks. Note that legal analysis or consent form drafting is outside the scope of this skill.
Its SKILL.md is about 1.2k 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 Legal & Compliance, covering Data analysis and Legal research. The licence is Apache-2.0.
When your agent uses it
- Data flow analysis
- Processing activity mapping
- Risk point identification
Example prompts
- “pia-assessor”
- “process-architect”
- “data flow analysis”
- “/data-flow-mapper”
What it can do on your machine
Read from SKILL.md and the folder at commit 8e8d35c. 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:
aws
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use aws, which can reach the network depending on how they are called.
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
Data Flow Mapper loads about 1.2k tokens when it runs. Until then it costs about 131 tokens; SKILL.md has 233 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 revfactory/harness-100 at commit 8e8d35c, republished under its Apache-2.0 licence (© revfactory). 233 words, ~1,169 tokens.
Download SKILL.mdSave it as
.claude/skills/data-flow-mapper/SKILL.md (or your agent's skills folder).- name
- data-flow-mapper
- description
- A data flow mapping tool that systematically maps personal information processing flows and identifies risk points. The 'pia-assessor' and 'process-architect' agents must utilize this skill's mapping methodology and risk point identification patterns when analyzing data flows and designing protective measures. Use for 'data flow analysis', 'processing activity mapping', 'risk point identification', and similar tasks. Note that legal analysis or consent form drafting is outside the scope of this skill.
Data Flow Mapper — Personal Information Data Flow Mapping Tool
Visualizes the complete lifecycle of personal information — collection → processing → storage → transfer → destruction — and identifies risk points.
Data Lifecycle Mapping Framework
6-Stage Lifecycle
Collection → Use → Storage → Sharing
→ Entrustment → Destruction
Checklist for each stage:
Collection: items collected, collection channels, legal basis, consent method
Use: processing purpose, processor, access permissions
Storage: storage location, encryption, retention period
Sharing: recipients, shared items, legal basis
Entrustment: trustee, entrusted tasks, oversight and supervision
Destruction: destruction timing, destruction method, destruction confirmationRecord of Processing Activities (RoPA) Template
| Activity ID | Processing Purpose | Data Items | Data Subject | Legal Basis | Retention Period | Trustee | Cross-border Transfer |
|------------|-------------------|------------|--------------|-------------|-----------------|---------|----------------------|
| PA-001 | Member registration | Name, email, phone | Member | Consent | Upon withdrawal | - | - |
| PA-002 | Payment processing | Card number, account | Purchaser | Contract | 5 years | PG company | - |
| PA-003 | Marketing | Email, purchase history | Member | Consent (optional) | Upon consent withdrawal | Ad agency | AWS (USA) |Risk Point Identification Patterns
High-Risk Data Flow Patterns
| Pattern ID | Pattern Name | Risk Description | Impact |
|---|---|---|---|
| DF-01 | Excessive collection | Collecting unnecessary items beyond the stated purpose | High |
| DF-02 | Use beyond purpose | Processing data for purposes other than the stated collection purpose | High |
| DF-03 | Insufficient encryption | Storing/transmitting sensitive information in plaintext | Critical |
| DF-04 | Undisclosed cross-border transfer | Missing notice/consent when using overseas servers | High |
| DF-05 | Unmanaged trustees | Absence of security management for entrusted vendors | High |
| DF-06 | Failure to destroy | Not destroying data after the retention period expires | Medium |
| DF-07 | No audit logs | Failure to record access/processing history | Medium |
| DF-08 | Excessive access privileges | Personal information accessible to unrelated personnel | High |
Data Classification System
| Level | Data Type | Protection Level | Examples |
|---|---|---|---|
| Top Secret | Sensitive information | Separate consent + mandatory encryption | Health, beliefs, biometrics |
| Level 1 | Unique identifying information | Separate consent + mandatory encryption | National ID, passport, driver's license |
| Level 2 | General personal information | Consent + safety measures | Name, email, phone |
| Level 3 | Pseudonymized information | Safety measures | Pseudonymized data |
| Level 4 | Anonymized information | No restrictions | Statistical data |
Data Flow Diagram Creation
Text-Based DFD Notation
[Data Subject] ---(name, email)---> [Web Server]
[Web Server] ---(save to member DB)---> [RDS/MySQL]
[Web Server] ---(payment request)---> [PG Company API]
[RDS/MySQL] ---(backup)---> [S3 (Seoul Region)]
[RDS/MySQL] ---(analytics)---> [BigQuery (USA)] ⚠️ Cross-border transfer
[Batch Server] ---(marketing delivery)---> [Email Service] ⚠️ EntrustmentRisk Assessment Scoring
Risk Score = Data_Sensitivity(1-5) × Processing_Scale(1-5) × Control_Absence(1-5)
Sensitivity: 5=Sensitive info 4=Unique identifier 3=General personal 2=Pseudonymized 1=Anonymized
Processing Scale: 5=1M+ 4=100K+ 3=10K+ 2=1K+ 1=Under 100
Control Absence: 5=No protective measures 4=Partial 3=Basic level 2=Good 1=Best-in-class
Risk Levels:
75-125: 🔴 Immediate protective measures required
40-74: 🟡 Improvement needed
15-39: 🟢 Acceptable
1-14: ⚪ GoodReferences
- Based on GDPR Article 30 (RoPA) and Personal Information Protection Act Article 30
- Detailed mapping guide: see
references/data-flow-guide.md
© revfactory, 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
Just SKILL.md in en/69-privacy-engineer/.claude/skills/data-flow-mapper of revfactory/harness-100.
Open the folder on GitHubat commit 8e8d35c
Compare with similar skills
Data Flow Mapper 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 |
|---|---|---|---|---|---|---|
| Data Flow Mapper this skillrevfactory/harness-100 | 1.3k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| 2026 Legal Research Agentcuriositech/some_claude_skills | 243 | 1 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Skill Auditoraipoch/medical-research-skills | 2k | — | ~6.9k | Automated safety check: Pass | MIT | |
| Protocol Deviation Classifieraipoch/medical-research-skills | 2k | — | ~3.5k | Automated safety check: Pass | MIT | |
| Respol Data Analysisbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Respol Tables Figuresbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.4k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Data Flow Mapper
What does Data Flow Mapper do?
A data flow mapping tool that systematically maps personal information processing flows and identifies risk points. Data Flow Mapper is an agent skill from revfactory/harness-100. A data flow mapping tool that systematically maps personal information processing flows and identifies risk points.
When should I use Data Flow Mapper?
Data Flow Mapper fits situations like: data flow analysis; processing activity mapping; risk point identification.
How do I install Data Flow Mapper in Claude Code?
Run `npx skills add revfactory/harness-100 --skill data-flow-mapper -a claude-code`. Or copy the skill folder (en/69-privacy-engineer/.claude/skills/data-flow-mapper in revfactory/harness-100) into .claude/skills/data-flow-mapper in your project. Claude Code loads it when a task matches its description.
How do I install Data Flow Mapper in Codex?
Run `npx skills add revfactory/harness-100 --skill data-flow-mapper -a codex`. Or copy the skill folder (en/69-privacy-engineer/.claude/skills/data-flow-mapper in revfactory/harness-100) into .agents/skills/data-flow-mapper in your project. Codex loads it when a task matches its description.
Can I use Data Flow Mapper 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 revfactory/harness-100 --skill data-flow-mapper -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/data-flow-mapper, .gemini/skills/data-flow-mapper, .github/skills/data-flow-mapper and .opencode/skills/data-flow-mapper in your project.
What does Data Flow Mapper need to run?
Going by SKILL.md and its folder, Data Flow Mapper needs the command-line tools its instructions call (aws).
Does Data Flow Mapper 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 Data Flow Mapper 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 Data Flow Mapper use?
Data Flow Mapper 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 Data Flow Mapper use?
About 1.2k tokens (SKILL.md is roughly 4.7k 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 Data Flow Mapper?
Skills that share tags, products or a category with Data Flow Mapper: 2026 Legal Research Agent (curiositech/some_claude_skills, 243 stars), Skill Auditor (aipoch/medical-research-skills, 2k stars), Protocol Deviation Classifier (aipoch/medical-research-skills, 2k stars) and Respol Data Analysis (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Data Flow Mapper?
revfactory (a GitHub user) maintains it in revfactory/harness-100, which has 1,290 GitHub stars. The repository holds 464 skills in this directory. The repository was last updated on March 22, 2026.
Source: revfactory/harness-100 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.