Agent skill

Memtrace Style Fingerprint

by syncable-dev in syncable-dev/memtrace-public

Pull the codebase's empirical style norm from Memtrace and match it when writing or editing source code in an indexed repo.

Custom licenceAuto-check passedWriting & Content

Install Memtrace Style Fingerprint

skills CLI
$ npx skills add syncable-dev/memtrace-public --skill memtrace-style-fingerprint -a claude-code

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

GitHub CLI
$ gh skill install syncable-dev/memtrace-public memtrace-style-fingerprint --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/syncable-dev/memtrace-public.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/memtrace-skills/skills/memtrace-style-fingerprint .claude/skills/memtrace-style-fingerprint && 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
memtrace-style-fingerprint
GitHub stars
486
Token cost
~2.5k tokens
SKILL.md length
1,199 words
Files
1
Skills in repo
27
Repo updated
First seen
Licence
Custom licence

At a glance

Pull the codebase's empirical style norm from Memtrace and match it when writing or editing source code in an indexed repo.

  • Works in 3 steps: Get the codebase's overall norm → Get the file's deviation from the norm… → Read the briefing line at session start…
  • Choosing between competing idioms (ternary vs if-else
  • SKILL.md covers Overview, Best Fit, Steps and Decision points, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Memtrace Style Fingerprint is an agent skill from syncable-dev/memtrace-public. Pull the codebase's empirical style norm from Memtrace and match it when writing or editing source code in an indexed repo. Use when choosing between competing idioms (ternary vs if-else, arrow vs function declaration, const vs let, await vs .then, early-return vs nested-return), matching naming case, or when the user asks what the convention here is. Do not re-derive style from training priors or maintain a markdown style guide for the project; the fingerprint is sampled live from the actual code.

Its SKILL.md is about 2.5k 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 Writing & Content. The repository describes itself as: Structural memory for AI coding agents. Bi-temporal graph, MCP-native, zero LLM calls. Cursor · Claude Code · Codex · DeepSeek Harness · Hermes · VS Code · Windsurf.

When your agent uses it

  • Choosing between competing idioms (ternary vs if-else
  • Arrow vs function declaration
  • Early-return vs nested-return)
  • Matching naming case

Example prompts

  • “/memtrace-style-fingerprint”

Requirements

  • Python 3

Workflow steps

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

  1. Get the codebase's overall norm
  2. Get the file's deviation from the norm (when about to edit a specific file)
  3. Read the briefing line at session start (passive)

What it can do on your machine

Read from SKILL.md and the folder at commit 3a3084d. 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).

    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

Memtrace Style Fingerprint loads about 2.5k tokens when it runs. Until then it costs about 133 tokens; SKILL.md has 1,199 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~133
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k

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 1,199 words (~2,518 tokens).

“Every indexed Memtrace repository carries an empirical style fingerprint — descriptive histograms of competing AST idioms (ternary vs if-else, arrow vs function declaration, const vs let, await vs .then, early-return vs nested-return depth) computed at parse time and rolled up…”

— opening of SKILL.md by syncable-dev, Custom licence
name
memtrace-style-fingerprint

Read the full SKILL.md on GitHub

Files

Just SKILL.md in plugins/memtrace-skills/skills/memtrace-style-fingerprint of syncable-dev/memtrace-public.

Open the folder on GitHubat commit 3a3084d

Compare with similar skills

Memtrace Style Fingerprint 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.

Memtrace Style Fingerprint compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Memtrace Style Fingerprint this skillsyncable-dev/memtrace-public486—~2.5kAutomated safety check: PassCustom licence
HumanizerAzure-Samples/interview-coach-agent-framework17237 repos~5.8kAutomated safety check: PassMIT
Avoid AI Writingconorbronsdon/avoid-ai-writing4.9k3 repos~8.1kAutomated safety check: PassMIT
JavaScript Concept Fact Checkerleonardomso/33-js-concepts67k1 repos~5kAutomated safety check: PassMIT
User-Facing Text Cleanupguillaumemeyer/watermarks-remover23k—~3.5kAutomated safety check: PassMIT
Install Anti Sloptrycompai/crm11k1 repos~881Automated safety check: PassMIT

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More from syncable-dev/memtrace-public

All 27 skills in this repo
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  • Memtrace Code Review

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    Review GitHub pull requests with Memtrace's local graph-backed review engine.

    486 GitHub stars~818 tokensUpdated today
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  • Memtrace Codebase Exploration

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  • Memtrace Continuous Memory

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    Keep the Memtrace index fresh while editing by watching a repo for live, incremental re-indexing.

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  • Memtrace Decision Memory

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    Use Cortex decision memory through the normal Memtrace MCP tools.

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Questions about Memtrace Style Fingerprint

What does Memtrace Style Fingerprint do?

Pull the codebase's empirical style norm from Memtrace and match it when writing or editing source code in an indexed repo. Memtrace Style Fingerprint is an agent skill from syncable-dev/memtrace-public. Pull the codebase's empirical style norm from Memtrace and match it when writing or editing source code in an indexed repo.

When should I use Memtrace Style Fingerprint?

Memtrace Style Fingerprint fits situations like: choosing between competing idioms (ternary vs if-else; arrow vs function declaration; early-return vs nested-return); matching naming case.

How do I install Memtrace Style Fingerprint in Claude Code?

Run `npx skills add syncable-dev/memtrace-public --skill memtrace-style-fingerprint -a claude-code`. Or copy the skill folder (plugins/memtrace-skills/skills/memtrace-style-fingerprint in syncable-dev/memtrace-public) into .claude/skills/memtrace-style-fingerprint in your project. Claude Code loads it when a task matches its description.

How do I install Memtrace Style Fingerprint in Codex?

Run `npx skills add syncable-dev/memtrace-public --skill memtrace-style-fingerprint -a codex`. Or copy the skill folder (plugins/memtrace-skills/skills/memtrace-style-fingerprint in syncable-dev/memtrace-public) into .agents/skills/memtrace-style-fingerprint in your project. Codex loads it when a task matches its description.

Can I use Memtrace Style Fingerprint 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 syncable-dev/memtrace-public --skill memtrace-style-fingerprint -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/memtrace-style-fingerprint, .gemini/skills/memtrace-style-fingerprint, .github/skills/memtrace-style-fingerprint and .opencode/skills/memtrace-style-fingerprint in your project.

What does Memtrace Style Fingerprint need to run?

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

Does Memtrace Style Fingerprint 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 Memtrace Style Fingerprint 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 Memtrace Style Fingerprint use?

Memtrace Style Fingerprint 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 Memtrace Style Fingerprint use?

About 2.5k tokens (SKILL.md is roughly 10k 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 Memtrace Style Fingerprint?

Skills that share tags, products or a category with Memtrace Style Fingerprint: Humanizer (Azure-Samples/interview-coach-agent-framework, 172 stars), Avoid AI Writing (conorbronsdon/avoid-ai-writing, 4.9k stars), JavaScript Concept Fact Checker (leonardomso/33-js-concepts, 67k stars) and User-Facing Text Cleanup (guillaumemeyer/watermarks-remover, 23k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Memtrace Style Fingerprint?

syncable-dev (a GitHub organization) maintains it in syncable-dev/memtrace-public, which has 486 GitHub stars. The repository holds 27 skills in this directory. The repository was last updated on October 6, 2026.

Source: syncable-dev/memtrace-public on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.