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Agent skill

Entroly Context Control

by juyterman1000 in juyterman1000/entroly

Surgically select, compress, and recover codebase context using Entroly's MCP tools.

Apache-2.0Auto-check passedAgent Workflows

Install Entroly Context Control

skills CLI
$ npx skills add juyterman1000/entroly --skill entroly-context-control -a claude-code

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

GitHub CLI
$ gh skill install juyterman1000/entroly entroly-context-control --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/juyterman1000/entroly.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/plugins/entroly/skills/entroly-context-control .claude/skills/entroly-context-control && 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
entroly-context-control
GitHub stars
474
Token cost
~501 tokens
SKILL.md length
218 words
Files
1
Skills in repo
3
Repo updated
First seen
Licence
Apache-2.0

At a glance

Surgically select, compress, and recover codebase context using Entroly's MCP tools.

  • Works in 5 steps: Token-Budgeted Codebase Selection… → Semantic Code Recall (recall) → Reversible Output Compression (compress… → …
  • Tasks that involve LLM cost and token optimization
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Context engineering

What it does

Entroly Context Control is an agent skill from juyterman1000/entroly. Surgically select, compress, and recover codebase context using Entroly's MCP tools. Slashes token usage by up to 95% with Merkle-exact recovery receipts and WITNESS verification.

Its SKILL.md is about 500 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 Agent Workflows, covering LLM cost and token optimization, Context engineering and Codebase knowledge for agents. It works with Model Context Protocol. The repository describes itself as: Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, and carries an auditable receipt. Local-first, works through proxy… The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve LLM cost and token optimization
  • Tasks that involve Context engineering
  • Tasks that involve Codebase knowledge for agents

Example prompts

  • “/entroly-context-control”

Workflow steps

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

  1. Token-Budgeted Codebase Selection (optimize_context)
  2. Semantic Code Recall (recall)
  3. Reversible Output Compression (compress & recover)
  4. Codebase Health & Architecture Diagnostics (health)
  5. Grounding & Hallucination Verification (witness_verify)

What it can do on your machine

Read from SKILL.md and the folder at commit 25248bb. 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.

    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

Entroly Context Control loads about 501 tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 218 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~51
When it runs · the whole SKILL.md, loaded when a task matches
~501

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 juyterman1000/entroly at commit 25248bb, republished under its Apache-2.0 licence (© juyterman1000). 218 words, ~501 tokens.

Download SKILL.mdSave it as .claude/skills/entroly-context-control/SKILL.md (or your agent's skills folder).
name
entroly-context-control
description
Surgically select, compress, and recover codebase context using Entroly's MCP tools. Slashes token usage by up to 95% with Merkle-exact recovery receipts and WITNESS verification.

Entroly Context Intelligence Skill

Use this skill to optimize context, query the codebase with token budgets, compress bulky tool outputs, and recover omitted code byte-for-byte using the Entroly MCP server.

Core Workflows

1. Token-Budgeted Codebase Selection (optimize_context)

When answering a complex question or preparing a refactor across multiple files:

  • Call optimize_context with your natural language query and a token budget (e.g., budget=4000 or budget=8000).
  • Entroly executes a knapsack optimization algorithm that ranks AST fragments by relevance, entropy, and dependency relations.
  • Returns surgical code fragments, line numbers, and a cryptographic Merkle receipt.
2. Semantic Code Recall (recall)

When searching for specific symbols, implementations, or interfaces:

  • Call recall(query="...") with top_k=5 or top_k=10.
  • Returns ranked pointers with filenames, line numbers, and snippet digests.
3. Reversible Output Compression (compress & recover)

When dealing with large terminal dumps (build traces, test logs):

  • Call compress(data=..., budget=...) to distill down critical errors and signals while stripping noise.
  • Every compression produces a content-addressed SHA-256 handle.
  • To restore the original uncompressed text at any time, call recover(handle="...").
4. Codebase Health & Architecture Diagnostics (health)

To assess codebase quality before or after major changes:

  • Call health() to inspect clone pairs, dead symbols, god files, and architecture violations.
5. Grounding & Hallucination Verification (witness_verify)

To verify an agent claim or proposed code against source evidence:

  • Call witness_verify(claim=..., evidence=...) for local NLI-backed verification.

© juyterman1000, 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 .agents/plugins/entroly/skills/entroly-context-control of juyterman1000/entroly.

Open the folder on GitHubat commit 25248bb

Compare with similar skills

Entroly Context Control 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.

Entroly Context Control compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Entroly Context Control this skilljuyterman1000/entroly474—~501Automated safety check: PassApache-2.0
Context Mode Output Sandboxmksglu/context-mode26k—~4.1kAutomated safety check: PassCustom licence
Context Mode for Antigravity CLImksglu/context-mode26k—~850Automated safety check: PassCustom licence
MCP Code Search Tool SelectionContext-Engine-AI/Context-Engine402—~1.3kAutomated safety check: PassMIT
Claude Code Masteryborghei/Claude-Skills891—~1.9kAutomated safety check: PassMIT
LemmalogJordyZomer/lemmalog329—~2.8kAutomated safety check: PassMIT

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Works with

Categories

Questions about Entroly Context Control

What does Entroly Context Control do?

Surgically select, compress, and recover codebase context using Entroly's MCP tools. Entroly Context Control is an agent skill from juyterman1000/entroly. Surgically select, compress, and recover codebase context using Entroly's MCP tools.

When should I use Entroly Context Control?

Entroly Context Control fits situations like: tasks that involve LLM cost and token optimization; tasks that involve Context engineering; tasks that involve Codebase knowledge for agents.

How do I install Entroly Context Control in Claude Code?

Run `npx skills add juyterman1000/entroly --skill entroly-context-control -a claude-code`. Or copy the skill folder (.agents/plugins/entroly/skills/entroly-context-control in juyterman1000/entroly) into .claude/skills/entroly-context-control in your project. Claude Code loads it when a task matches its description.

How do I install Entroly Context Control in Codex?

Run `npx skills add juyterman1000/entroly --skill entroly-context-control -a codex`. Or copy the skill folder (.agents/plugins/entroly/skills/entroly-context-control in juyterman1000/entroly) into .agents/skills/entroly-context-control in your project. Codex loads it when a task matches its description.

Can I use Entroly Context Control 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 juyterman1000/entroly --skill entroly-context-control -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/entroly-context-control, .gemini/skills/entroly-context-control, .github/skills/entroly-context-control and .opencode/skills/entroly-context-control in your project.

What does Entroly Context Control need to run?

SKILL.md names no scripts, command-line tools or credentials: Entroly Context Control is instructions for the agent only.

Does Entroly Context Control 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 Entroly Context Control 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 Entroly Context Control use?

Entroly Context Control 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 Entroly Context Control use?

About 501 tokens (SKILL.md is roughly 2k 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 Entroly Context Control?

Skills that share tags, products or a category with Entroly Context Control: Context Mode Output Sandbox (mksglu/context-mode, 26k stars), Context Mode for Antigravity CLI (mksglu/context-mode, 26k stars), MCP Code Search Tool Selection (Context-Engine-AI/Context-Engine, 402 stars) and Claude Code Mastery (borghei/Claude-Skills, 891 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Entroly Context Control?

juyterman1000 (a GitHub user) maintains it in juyterman1000/entroly, which has 474 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on October 11, 2026.

Source: juyterman1000/entroly on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.