Paper to Chinese Patent Drafter
Yuan1z0825/nature-skills
Drafts Chinese invention patent applications and technical disclosures from research papers or inventor materials, tying each claim feature to source evidence.
Build a data retention and deletion schedule grounded in legal basis.
Install Data Retention Policy
$ npx skills add mohitagw15856/pm-claude-skills --skill data-retention-policy -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mohitagw15856/pm-claude-skills data-retention-policy --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/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/data-retention-policy .claude/skills/data-retention-policy && 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-retention-policy" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/data-retention-policy into .claude/skills/data-retention-policy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-retention-policy", 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/mohitagw15856/pm-claude-skills/tree/main/skills/data-retention-policyType 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 mohitagw15856/pm-claude-skills --skill data-retention-policy -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mohitagw15856/pm-claude-skills data-retention-policy --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/data-retention-policy .agents/skills/data-retention-policy && 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-retention-policy" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/data-retention-policy into .agents/skills/data-retention-policy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-retention-policy", 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 mohitagw15856/pm-claude-skills --skill data-retention-policy -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mohitagw15856/pm-claude-skills data-retention-policy --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/data-retention-policy .cursor/skills/data-retention-policy && 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-retention-policy" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/data-retention-policy into .cursor/skills/data-retention-policy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-retention-policy", 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/mohitagw15856/pm-claude-skills.git --path skills/data-retention-policy--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 mohitagw15856/pm-claude-skills --skill data-retention-policy -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mohitagw15856/pm-claude-skills data-retention-policy --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/data-retention-policy .gemini/skills/data-retention-policy && 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-retention-policy" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/data-retention-policy into .gemini/skills/data-retention-policy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-retention-policy", 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 mohitagw15856/pm-claude-skills data-retention-policyInstalls 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 mohitagw15856/pm-claude-skills --skill data-retention-policy -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/data-retention-policy .github/skills/data-retention-policy && 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-retention-policy" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/data-retention-policy into .github/skills/data-retention-policy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-retention-policy", 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 mohitagw15856/pm-claude-skills --skill data-retention-policy -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mohitagw15856/pm-claude-skills data-retention-policy --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/data-retention-policy .opencode/skills/data-retention-policy && 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-retention-policy" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/data-retention-policy into .opencode/skills/data-retention-policy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-retention-policy", 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-retention-policy- GitHub stars
- 1.4k
- Token cost
- ~1k tokens
- SKILL.md length
- 466 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 1,348
- Repo updated
- First seen
- Licence
- MIT
At a glance
Build a data retention and deletion schedule grounded in legal basis.
- Asked to create a data retention policy
- SKILL.md covers Required Inputs, Output Format, Programmatic Helper and Quality Checks, plus 3 more sections
- Runs Python scripts from its folder; calls python3
- Set retention periods
What it does
Data Retention Policy is an agent skill from mohitagw15856/pm-claude-skills. Build a data retention and deletion schedule grounded in legal basis. Use when asked to create a data retention policy, set retention periods, plan data deletion/minimisation, or answer 'how long can we keep this data?'. Produces a retention schedule — data categories with their retention period, legal/business basis, deletion trigger and method, plus flags for data kept with no basis or no defined period.
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/retention_schedule.py`).
It sits in Legal & Compliance. The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.
When your agent uses it
- Asked to create a data retention policy
- Set retention periods
- Plan data deletion/minimisation
- Answer how long can we keep this data?
Example prompts
- “how long can we keep this data?”
- “/data-retention-policy”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 1cbf1f0. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
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
Data Retention Policy loads about 1k tokens when it runs. Until then it costs about 108 tokens; SKILL.md has 466 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); the scripts in this folder are not scanned.
SKILL.md
The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 466 words, ~1,034 tokens.
Download SKILL.mdSave it as
.claude/skills/data-retention-policy/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- data-retention-policy
- description
- Build a data retention and deletion schedule grounded in legal basis. Use when asked to create a data retention policy, set retention periods, plan data deletion/minimisation, or answer 'how long can we keep this data?'. Produces a retention schedule — data categories with their retention period, legal/business basis, deletion trigger and method, plus flags for data kept with no basis or no defined period.
Data Retention Policy Skill
"Keep everything forever" is a liability, not a strategy — it grows breach exposure, violates data- minimisation rules (GDPR, CCPA), and turns every data subject request into an archaeology project. This skill builds a retention schedule that ties each data category to how long you keep it and why (legal basis), with a concrete deletion trigger — so retention is a defensible policy, not an accident.
Required Inputs
Ask for these only if they aren't already provided:
- Data categories — the kinds of data you hold (customer records, logs, financial, HR, marketing, backups).
- Legal/regulatory drivers — anything mandating minimum retention (tax/financial records, employment law) or maximum (GDPR minimisation, sector rules).
- Business need — why each category is genuinely needed and for how long.
- Where it lives — systems and backups (backups are the most-forgotten place data outlives its policy).
Output Format
Data Retention Schedule: [organisation]
1. Schedule — the core table, one row per data category:
| Data category | Retention period | Basis (legal/business) | Deletion trigger | Method | System(s) |
|---|---|---|---|---|---|
| Customer PII | 3y after account closure | Legitimate interest + GDPR minimisation | Account closed + 3y | Hard delete | App DB, backups |
| Financial records | 7y | Tax law (statutory minimum) | End of fiscal year + 7y | Archive then delete | Finance system |
2. Principles — the policy stance: minimise by default, the shortest period that satisfies the basis, and that retention applies to backups and logs too.
3. Deletion mechanics — how deletion actually happens (automated job vs. manual), how it cascades to backups, and how it's evidenced.
4. Flags — categories with no defined period or no legal/business basis (these are the risk — data you can't justify keeping).
Programmatic Helper
scripts/retention_schedule.py (stdlib only) validates a schedule and flags categories missing a
period or a basis, and (given a closure/event date) computes the earliest deletion date:
# data.json: [{"category":"Customer PII","retention_months":36,"basis":"GDPR minimisation","event_date":"2024-01-15"}, ...]
python3 scripts/retention_schedule.py data.json
python3 scripts/retention_schedule.py data.json --jsonShow full SKILL.md (177 more words)Show less
Quality Checks
- Every category has both a retention period and a documented basis
- Periods default to the shortest that satisfies the legal/business need (minimisation), not "indefinite"
- Backups and logs are covered, not just the primary store
- Each category has a concrete deletion trigger and method, not just a duration
- Statutory minimums (tax, employment) and maximums (minimisation) are both respected
Anti-Patterns
- Do not set retention to "indefinite" or leave it blank — undefined retention is the highest-risk, least-defensible state
- Do not forget backups — data deleted from production that lives on in backups is still data you hold
- Do not keep data with no legal or business basis — if you can't justify it, deleting it lowers risk for free
- Do not set a blanket period for all data — tax records and marketing emails have very different drivers
- Do not present statutory periods as advice — flag where legal/compliance must confirm the minimums
Based On
Data-minimisation practice — GDPR Art. 5(1)(e) storage limitation, sector retention statutes, and defensible-deletion principles.
Example Trigger Phrases
- "Create a data retention policy."
- "Set retention periods."
- "Plan data deletion/minimisation."
© mohitagw15856, MIT. 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 (scripts) in skills/data-retention-policy of mohitagw15856/pm-claude-skills.
- SKILL.md
- scripts/retention_schedule.py
Open the folder on GitHubat commit 1cbf1f0
Compare with similar skills
Data Retention Policy 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 Retention Policy this skillmohitagw15856/pm-claude-skills | 1.4k | — | ~1k | Automated safety check: Pass | MIT | |
| Paper to Chinese Patent DrafterYuan1z0825/nature-skills | 47k | 1 repos | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| C15tc15t/c15t | 1.9k | 1 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Contract Reviewevolsb/claude-legal-skill | 464 | 1 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Legal Clinic Client Intakeanthropics/claude-for-legal | 9.6k | 3 repos | ~3.2k | Automated safety check: Pass | Apache-2.0 | |
| Paper To Cn Patentsnipp-zha/Paper-to-patent-Skill | 107 | 1 repos | ~959 | Automated safety check: Pass | None |
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Related
Categories
Questions about Data Retention Policy
What does Data Retention Policy do?
Build a data retention and deletion schedule grounded in legal basis. Data Retention Policy is an agent skill from mohitagw15856/pm-claude-skills. Build a data retention and deletion schedule grounded in legal basis.
When should I use Data Retention Policy?
Data Retention Policy fits situations like: asked to create a data retention policy; set retention periods; plan data deletion/minimisation; answer how long can we keep this data?.
How do I install Data Retention Policy in Claude Code?
Run `npx skills add mohitagw15856/pm-claude-skills --skill data-retention-policy -a claude-code`. Or copy the skill folder (skills/data-retention-policy in mohitagw15856/pm-claude-skills) into .claude/skills/data-retention-policy in your project. Claude Code loads it when a task matches its description.
How do I install Data Retention Policy in Codex?
Run `npx skills add mohitagw15856/pm-claude-skills --skill data-retention-policy -a codex`. Or copy the skill folder (skills/data-retention-policy in mohitagw15856/pm-claude-skills) into .agents/skills/data-retention-policy in your project. Codex loads it when a task matches its description.
Can I use Data Retention Policy 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 mohitagw15856/pm-claude-skills --skill data-retention-policy -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-retention-policy, .gemini/skills/data-retention-policy, .github/skills/data-retention-policy and .opencode/skills/data-retention-policy in your project.
What does Data Retention Policy need to run?
Going by SKILL.md and its folder, Data Retention Policy needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Data Retention Policy 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 Retention Policy 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Data Retention Policy use?
Data Retention Policy is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Data Retention Policy use?
About 1k tokens (SKILL.md is roughly 4.1k 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 Retention Policy?
Skills that share tags, products or a category with Data Retention Policy: Paper to Chinese Patent Drafter (Yuan1z0825/nature-skills, 47k stars), C15t (c15t/c15t, 1.9k stars), Contract Review (evolsb/claude-legal-skill, 464 stars) and Legal Clinic Client Intake (anthropics/claude-for-legal, 9.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Data Retention Policy?
mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.
Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.