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Agent skill

Ditto

by sickn33 in sickn33/agentic-awesome-skills

A skill your agent uses when a user asks to mine or update a private, evidence-backed work profile from local Claude Code, Codex, Copilot CLI, or OpenCode sessions.

MITAuto-check passed

Install Ditto

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill ditto -a claude-code

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

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills ditto --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ditto .claude/skills/ditto && 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
ditto
GitHub stars
47k
Used in
1 other repo
Token cost
~1.7k tokens
SKILL.md length
810 words
Files
1
Skills in repo
1,354
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when a user asks to mine or update a private, evidence-backed work profile from local Claude Code, Codex, Copilot CLI, or OpenCode sessions.

  • Works in 5 steps: Resolve an installed runtime → Show the read-only mining plan → Prepare the approved run → …
  • A user asks to mine
  • SKILL.md covers Overview, When to Use This Skill, How It Works and Examples, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ditto is an agent skill from sickn33/agentic-awesome-skills. Use when a user asks to mine or update a private, evidence-backed work profile from local Claude Code, Codex, Copilot CLI, or OpenCode sessions.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • A user asks to mine
  • Update a private
  • Evidence-backed work profile from local Claude Code
  • OpenCode sessions

Example prompts

  • “/ditto”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Resolve an installed runtime
  2. Show the read-only mining plan
  3. Prepare the approved run
  4. Mine and validate evidence
  5. Verify and report

What it can do on your machine

Read from SKILL.md and the folder at commit ec02547. 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 bash).

    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

Ditto loads about 1.7k tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 810 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~38
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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 sickn33/agentic-awesome-skills at commit ec02547, republished under its MIT licence (© sickn33). 810 words, ~1,706 tokens.

Download SKILL.mdSave it as .claude/skills/ditto/SKILL.md (or your agent's skills folder).
name
ditto
description
Use when a user asks to mine or update a private, evidence-backed work profile from local Claude Code, Codex, Copilot CLI, or OpenCode sessions.
category
agent-behavior
risk
critical
source
community
source_repo
ohad6k/ditto
source_type
community
date_added
2026-07-14
author
ohad6k
tags
personalization, context-engineering, session-mining, agent-memory
tools
claude, cursor, gemini, codex-cli
license
MIT

Ditto

Overview

Ditto mines only the user's words from real local coding-agent session logs and turns repeated, supported patterns into private work, design, and writing profiles. It keeps dated session receipts, rejects authored rules and memory as source evidence, and requires approval before model-backed mining begins.

This standalone skill routes a compatible, already-installed Ditto runtime. Native namespaced routing is available through the upstream Ditto plugin.

When to Use This Skill

  • Use when the user explicitly asks to set up, run, update, re-mine, or deepen Ditto.
  • Use when the user wants an agent profile derived from real coding-session history rather than a questionnaire or rules file.
  • Use when native ditto:mine is unavailable and the user already has a compatible Ditto runtime installed.

Do not trigger this skill merely because personalization might be useful. Mining requires an explicit user request.

How It Works

1. Resolve an installed runtime

Ask the user for the path to an existing, trusted Ditto runtime, or use the native upstream plugin when it is already installed. Retain the exact Python 3 executable path as PYTHON3, the runtime path as DITTO_PY, and its matching MINING_PROMPT.md path. Confirm the installed version and source before use.

Do not download or install executable code as part of this skill. If Ditto is not installed, stop and direct the user to the upstream installation guidance; installation is a separate, explicit decision.

2. Show the read-only mining plan

Mine only real user-authored sessions. Never synthesize a profile from AGENTS.md, CLAUDE.md, memory files, rules files, or a typed self-description.

Run the full-history quality-default preflight:

bash
"$PYTHON3" "$DITTO_PY" plugin preflight

Show the user the valid session count, post-dedupe source tokens, selected source tokens, cache hits, planned worker calls, and planned reducer calls. Wait for explicit approval of this displayed plan before any model-backed work.

If the user explicitly asks for a quick preview, add --preview and say exactly:

Quick preview creates a starter profile from selected history, not the full profile.

Never present preview as the default or as equivalent to the full-history result.

3. Prepare the approved run

Retain the displayed approval_hash, then prepare with the exact approved mode. For the full-history plan, run:

bash
"$PYTHON3" "$DITTO_PY" plugin prepare --approved-plan-hash HASH

For an approved quick-preview plan, preserve preview mode explicitly:

bash
"$PYTHON3" "$DITTO_PY" plugin prepare --preview --approved-plan-hash HASH

If the hash changes, show the new plan and obtain approval again. Retain the returned run_id, assigned segment and report paths, and pack_path.

4. Mine and validate evidence

For every uncached selected segment, run one worker over only that segment and the per-segment contract in the resolved MINING_PROMPT.md. Cache each JSON report with plugin cache-report and stop on rejection.

Run one strongest-available reducer over only the validated reports and reducer contract. Write the complete pack to pack_path, validate it, and activate only the validated pack with plugin activate.

5. Verify and report

Run plugin status, render the profile card, and report:

  • active version and core profile path
  • active and inactive domains
  • selected source tokens and actual worker/reducer passes
  • cache reuse
  • card path
  • any exact targeted-deepen instruction

If the current host already has the native Ditto plugin, do not create a competing direct profile installation.

Show full SKILL.md (302 more words)Show less

Examples

Full-history setup
text
User: run ditto on my coding history
Agent: resolves the pinned runtime, shows the read-only full-history plan, and
waits for explicit cost approval before starting any mining workers.
Explicit quick preview
text
User: give me a cheap ditto preview first
Agent: runs preflight with --preview, labels it as a starter profile, and waits
for approval of the displayed preview plan.

Best Practices

  • Keep raw sessions, caches, receipts, and generated profiles private by default.
  • Report exact observed counts and paths; never estimate provider billing or coverage.
  • Preserve the approval hash and mode through the complete run.
  • Stop on validation failure instead of activating a partial profile.
  • Share the card or a short trait, not the full private profile or receipt appendix.

Limitations

  • Ditto models working behavior; it does not make the underlying model smarter.
  • Sparse or repetitive histories can leave design or writing domains inactive.
  • Provider system prompts, tool traffic, and billing overhead are outside Ditto's exact token accounting.
  • Quick preview has lower recall than the full-history quality default.
  • Automatic work, design, and writing routing requires the upstream native plugin.

Security & Safety Notes

  • This skill does not download executable code; it requires an existing trusted Ditto installation.
  • Extraction, redaction, caches, and generated profiles stay local. Selected redacted text is processed by the model provider the user chooses.
  • Redaction is best-effort. Tell the user to inspect private output before sharing it.
  • Never upload session logs or full profiles to a third party without explicit user approval.
  • Installation itself schedules no mining model calls; every prepared mining mode still requires approval of its displayed plan.

Common Pitfalls

  • Problem: No eligible sessions are found.

    Solution: Report the supported source locations that were checked and ask whether the user has retained or exported session history.

  • Problem: The approval hash changed.

    Solution: Do not reuse the old approval. Show the updated plan and obtain approval again.

  • Problem: A cached or reduced report fails validation.

    Solution: Stop, preserve the failure evidence, and never activate the incomplete pack.

  • @agenttrace-session-audit - Use for cost, latency, failure, and health analysis of coding-agent sessions.
  • @agent-memory - Use for explicit persistent knowledge storage rather than evidence-based profile mining.

© sickn33, MIT. 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 skills/ditto of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit ec02547

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Ditto 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.

Ditto compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ditto this skillsickn33/agentic-awesome-skills47k1 repos~1.7kAutomated safety check: PassMIT
Private Company ResearchHKUDS/Vibe-Trading35k—~3.5kAutomated safety check: PassMIT
Ghost Private Feature FlagTryGhost/Ghost55k—~486Automated safety check: PassMIT
Building Role Mining For Rbac Optimizationmukul975/Anthropic-Cybersecurity-Skills34k—~2.6kAutomated safety check: PassApache-2.0
Configuring Zscaler Private Access For Ztnamukul975/Anthropic-Cybersecurity-Skills34k—~2.9kAutomated safety check: NotesApache-2.0
Comment MiningScrapeCreators/social-media-research-skills3.3k—~1kAutomated safety check: NotesMIT

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Questions about Ditto

What does Ditto do?

A skill your agent uses when a user asks to mine or update a private, evidence-backed work profile from local Claude Code, Codex, Copilot CLI, or OpenCode sessions. Ditto is an agent skill from sickn33/agentic-awesome-skills. Use when a user asks to mine or update a private, evidence-backed work profile from local Claude Code, Codex, Copilot CLI, or OpenCode sessions.

When should I use Ditto?

Ditto fits situations like: A user asks to mine; update a private; evidence-backed work profile from local Claude Code; openCode sessions.

How do I install Ditto in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill ditto -a claude-code`. Or copy the skill folder (skills/ditto in sickn33/agentic-awesome-skills) into .claude/skills/ditto in your project. Claude Code loads it when a task matches its description.

How do I install Ditto in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill ditto -a codex`. Or copy the skill folder (skills/ditto in sickn33/agentic-awesome-skills) into .agents/skills/ditto in your project. Codex loads it when a task matches its description.

Can I use Ditto 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 sickn33/agentic-awesome-skills --skill ditto -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ditto, .gemini/skills/ditto, .github/skills/ditto and .opencode/skills/ditto in your project.

What does Ditto need to run?

SKILL.md names no scripts, command-line tools or credentials: Ditto is instructions for the agent only. Our summary lists: Python 3.

Does Ditto 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 Ditto 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 Ditto use?

Ditto is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ditto use?

About 1.7k tokens (SKILL.md is roughly 6.8k 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 Ditto?

Skills that share tags, products or a category with Ditto: Private Company Research (HKUDS/Vibe-Trading, 35k stars), Ghost Private Feature Flag (TryGhost/Ghost, 55k stars), Building Role Mining For Rbac Optimization (mukul975/Anthropic-Cybersecurity-Skills, 34k stars) and Configuring Zscaler Private Access For Ztna (mukul975/Anthropic-Cybersecurity-Skills, 34k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ditto?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,343 GitHub stars. The repository holds 1,354 skills in this directory. The repository was last updated on October 7, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.