Context Mode Output Sandbox
mksglu/context-mode
Routes large command, file, API and browser output through context-mode tools so only the needed result enters the agent's context, instead of dumping it via Bash.
Audit and remediate Entroly's MCP marketplace quality with evidence, adversarial validation, and no score gaming.
Install Entroly Lobehub Audit
$ npx skills add juyterman1000/entroly --skill entroly-lobehub-audit -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install juyterman1000/entroly entroly-lobehub-audit --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/juyterman1000/entroly.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/entroly-lobehub-audit .claude/skills/entroly-lobehub-audit && 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 "entroly-lobehub-audit" agent skill from https://github.com/juyterman1000/entroly/tree/main/.agents/skills/entroly-lobehub-audit into .claude/skills/entroly-lobehub-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "entroly-lobehub-audit", 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/juyterman1000/entroly/tree/main/.agents/skills/entroly-lobehub-auditType 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 juyterman1000/entroly --skill entroly-lobehub-audit -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install juyterman1000/entroly entroly-lobehub-audit --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/juyterman1000/entroly.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/entroly-lobehub-audit .agents/skills/entroly-lobehub-audit && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "entroly-lobehub-audit" agent skill from https://github.com/juyterman1000/entroly/tree/main/.agents/skills/entroly-lobehub-audit into .agents/skills/entroly-lobehub-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "entroly-lobehub-audit", 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 juyterman1000/entroly --skill entroly-lobehub-audit -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install juyterman1000/entroly entroly-lobehub-audit --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/juyterman1000/entroly.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/entroly-lobehub-audit .cursor/skills/entroly-lobehub-audit && 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 "entroly-lobehub-audit" agent skill from https://github.com/juyterman1000/entroly/tree/main/.agents/skills/entroly-lobehub-audit into .cursor/skills/entroly-lobehub-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "entroly-lobehub-audit", 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/juyterman1000/entroly.git --path .agents/skills/entroly-lobehub-audit--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 juyterman1000/entroly --skill entroly-lobehub-audit -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install juyterman1000/entroly entroly-lobehub-audit --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/juyterman1000/entroly.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/entroly-lobehub-audit .gemini/skills/entroly-lobehub-audit && 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 "entroly-lobehub-audit" agent skill from https://github.com/juyterman1000/entroly/tree/main/.agents/skills/entroly-lobehub-audit into .gemini/skills/entroly-lobehub-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "entroly-lobehub-audit", 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 juyterman1000/entroly entroly-lobehub-auditInstalls 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 juyterman1000/entroly --skill entroly-lobehub-audit -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/juyterman1000/entroly.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/entroly-lobehub-audit .github/skills/entroly-lobehub-audit && 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 "entroly-lobehub-audit" agent skill from https://github.com/juyterman1000/entroly/tree/main/.agents/skills/entroly-lobehub-audit into .github/skills/entroly-lobehub-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "entroly-lobehub-audit", 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 juyterman1000/entroly --skill entroly-lobehub-audit -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install juyterman1000/entroly entroly-lobehub-audit --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/juyterman1000/entroly.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/entroly-lobehub-audit .opencode/skills/entroly-lobehub-audit && 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 "entroly-lobehub-audit" agent skill from https://github.com/juyterman1000/entroly/tree/main/.agents/skills/entroly-lobehub-audit into .opencode/skills/entroly-lobehub-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "entroly-lobehub-audit", 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
entroly-lobehub-audit- GitHub stars
- 474
- Token cost
- ~1.2k tokens
- SKILL.md length
- 630 words
- Files
- 1
- Skills in repo
- 3
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Audit and remediate Entroly's MCP marketplace quality with evidence, adversarial validation, and no score gaming.
- Works in 11 steps: Read every score category, deduction,… → Map every deduction to the exact… → Classify every finding as one of → …
- Tasks that involve Context engineering
- SKILL.md covers Mission, Non-negotiable execution…, Priority and release isolation and LobeHub score registry, plus 4 more sections
- Reaches lobehub.com
What it does
Entroly Lobehub Audit is an agent skill from juyterman1000/entroly. Audit and remediate Entroly's MCP marketplace quality with evidence, adversarial validation, and no score gaming.
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 Agent Workflows, covering Context engineering, MCP servers and LLM cost and token optimization. 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 Context engineering
- Tasks that involve MCP servers
- Tasks that involve LLM cost and token optimization
Example prompts
- “/entroly-lobehub-audit”
Workflow steps
11 steps, taken from the first numbered list in SKILL.md.
- Read every score category, deduction, warning, and missing requirement.
- Map every deduction to the exact repository file, runtime behavior, external
- Classify every finding as one of
- Improve only legitimate weaknesses. Never add empty keywords, fabricated
- Preserve Entroly's positioning as the auditable context, memory, and
- Implement production-quality fixes with tests, schemas, validation,
- Add CI regression gates so corrected findings cannot return.
- Run the official MCP, npm, PyPI, OpenClaw/ClawHub, and LobeHub-relevant
- Open a focused PR with a deduction-by-deduction remediation table.
- Merge only after all checks pass, publish the necessary patch release, and
- Never claim the score improved until the public page visibly confirms it.
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
Hosts in commands or code, which the agent is likely to contact:
lobehub.com
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 Lobehub Audit loads about 1.2k tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 630 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 juyterman1000/entroly at commit 25248bb, republished under its Apache-2.0 licence (© juyterman1000). 630 words, ~1,242 tokens.
Download SKILL.mdSave it as
.claude/skills/entroly-lobehub-audit/SKILL.md (or your agent's skills folder).- name
- entroly-lobehub-audit
- description
- Audit and remediate Entroly's MCP marketplace quality with evidence, adversarial validation, and no score gaming.
- status
- active
Entroly LobeHub MCP Audit
Mission
Audit Entroly's complete LobeHub MCP score at:
https://lobehub.com/mcp/juyterman1000-entroly?activeTab=score
Act as a senior open-source product architect, MCP engineer, security engineer, Rust/Python/TypeScript developer, and release engineer.
Non-negotiable execution contract
- Read every score category, deduction, warning, and missing requirement.
- Map every deduction to the exact repository file, runtime behavior, external index state, or genuinely missing capability.
- Classify every finding as one of:
- product or security defect;
- packaging or discovery defect;
- missing documentation;
- stale external indexing;
- criterion irrelevant to Entroly's context-control category.
- Improve only legitimate weaknesses. Never add empty keywords, fabricated evidence, fake benchmarks, or unnecessary features merely to game a score.
- Preserve Entroly's positioning as the auditable context, memory, and verification control plane for AI agents.
- Implement production-quality fixes with tests, schemas, validation, security controls, documentation, and reproducible evidence.
- Add CI regression gates so corrected findings cannot return.
- Run the official MCP, npm, PyPI, OpenClaw/ClawHub, and LobeHub-relevant validation paths.
- Open a focused PR with a deduction-by-deduction remediation table.
- Merge only after all checks pass, publish the necessary patch release, and verify the public LobeHub page after its index refresh.
- Never claim the score improved until the public page visibly confirms it.
Priority and release isolation
- Finish and publicly verify the ClawHub v1.0.54 metadata correction.
- Keep LobeHub remediation in a separate branch, PR, and release.
- Do not mix unrelated product work into marketplace remediation.
LobeHub score registry
The current public LobeHub implementation assigns 100 total points:
| Criterion | Weight | Required |
|---|---|---|
| Claimed listing | 4 | No |
| Non-manual deployment | 12 | No |
| Any deployment | 15 | Yes |
| Detected license | 8 | No |
| MCP prompts | 8 | No |
| README | 10 | Yes |
| MCP resources | 8 | No |
| MCP tools | 15 | Yes |
| Runtime validation | 20 | Yes |
All required criteria must pass. With all required criteria present, 80% or higher is grade A, 60-79% is grade B, and lower is grade F.
Evidence registry
Maintain a table for each run:
| Criterion | Public observation | Repository evidence | Classification | Action | Test | External verification |
|---|
Never infer an external success from local code alone. Mark external-only
results as pending, blocked, or confirmed with a direct artifact,
registry response, public page, or screenshot.
Show full SKILL.md (271 more words)Show less
Search and implementation loop
- Collect independent evidence from the public listing, repository, package registries, official specifications, and executable protocol probes.
- Keep distinct hypotheses separate until each has concrete evidence.
- Mark routes blocked when they depend on an unavailable external refresh or an unproved assumption; do not disguise a blocked route as progress.
- Implement the smallest real fix that improves users' ability to install, understand, validate, or safely use Entroly.
- Add adversarial tests for malformed inputs, bounded output, path safety, secret leakage, prompt injection, protocol compatibility, clean installs, and stale metadata.
- Re-run local validators, package dry-runs, protocol smoke tests, and the full CI matrix.
- Publish only after all gates are green.
- Re-check the exact public listing and record the observed score and flags.
Adversarial review checklist
Reject any candidate remediation that:
- changes only wording without creating the claimed capability;
- exposes secrets, unrestricted files, unbounded receipts, or unsafe paths;
- adds MCP prompts or resources that are duplicates or decorative;
- relies on a local editable install but fails from the published artifact;
- reports validation without starting the server and listing its capabilities;
- confuses MCP Registry, LobeHub, ClawHub, npm, and PyPI indexing states;
- claims a marketplace score before the marketplace confirms it;
- broadens Entroly into an unrelated framework merely to satisfy a directory.
Completion condition
The task is complete only when:
- every legitimate deduction has a tested remediation or a documented external blocker;
- the focused PR is green and merged;
- required artifacts are published and installable;
- the public LobeHub score page visibly reflects the new state; and
- the final report distinguishes confirmed improvements from unresolved external indexing.
© 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/skills/entroly-lobehub-audit of juyterman1000/entroly.
Open the folder on GitHubat commit 25248bb
Compare with similar skills
Entroly Lobehub Audit 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 |
|---|---|---|---|---|---|---|
| Entroly Lobehub Audit this skilljuyterman1000/entroly | 474 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Context Mode Output Sandboxmksglu/context-mode | 26k | — | ~4.1k | Automated safety check: Pass | Custom licence | |
| Context Mode for Antigravity CLImksglu/context-mode | 26k | — | ~850 | Automated safety check: Pass | Custom licence | |
| Claude Code Masteryborghei/Claude-Skills | 891 | — | ~1.9k | Automated safety check: Pass | MIT | |
| LemmalogJordyZomer/lemmalog | 329 | — | ~2.8k | Automated safety check: Pass | MIT | |
| Cortex Mem MCPsopaco/cortex-mem | 313 | — | ~2.8k | Automated safety check: Pass | MIT |
Similar skills
Context Mode for Antigravity CLI
mksglu/context-mode
Routing rules for using context-mode MCP tools in Antigravity CLI: sandboxed code runs, file analysis, indexed search and web fetches that keep large output out of the conversation.
Claude Code Mastery
borghei/Claude-Skills
A skill your agent uses when the user asks to "optimize CLAUDE.md", "create a new skill", "write a custom agent", "configure hooks", "manage context window", "set up MCP servers", "scaffold a skill…
Lemmalog
JordyZomer/lemmalog
Externalize working memory and logical state into the lemmalog Datalog engine (MCP).
Cortex Mem MCP
sopaco/cortex-mem
Persistent memory enhancement for AI agents. An agent skill from sopaco/cortex-mem.
MCP Code Search Tool Selection
Context-Engine-AI/Context-Engine
Rules for choosing Qdrant-Indexer semantic search over grep or file reads when exploring code, debugging or asking where and why questions.
More from juyterman1000/entroly
Entroly Context Control
juyterman1000/entroly
Surgically select, compress, and recover codebase context using Entroly's MCP tools.
Entroly Evidence Operations
juyterman1000/entroly
Use Entroly for content-blind agent-history audits, explicit baseline/optimized trials, recoverable command or browser evidence, response contracts, and token-efficiency claim verification.
Related
Works with
Categories
Questions about Entroly Lobehub Audit
What does Entroly Lobehub Audit do?
Audit and remediate Entroly's MCP marketplace quality with evidence, adversarial validation, and no score gaming. Entroly Lobehub Audit is an agent skill from juyterman1000/entroly. Audit and remediate Entroly's MCP marketplace quality with evidence, adversarial validation, and no score gaming.
When should I use Entroly Lobehub Audit?
Entroly Lobehub Audit fits situations like: tasks that involve Context engineering; tasks that involve MCP servers; tasks that involve LLM cost and token optimization.
How do I install Entroly Lobehub Audit in Claude Code?
Run `npx skills add juyterman1000/entroly --skill entroly-lobehub-audit -a claude-code`. Or copy the skill folder (.agents/skills/entroly-lobehub-audit in juyterman1000/entroly) into .claude/skills/entroly-lobehub-audit in your project. Claude Code loads it when a task matches its description.
How do I install Entroly Lobehub Audit in Codex?
Run `npx skills add juyterman1000/entroly --skill entroly-lobehub-audit -a codex`. Or copy the skill folder (.agents/skills/entroly-lobehub-audit in juyterman1000/entroly) into .agents/skills/entroly-lobehub-audit in your project. Codex loads it when a task matches its description.
Can I use Entroly Lobehub Audit 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-lobehub-audit -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-lobehub-audit, .gemini/skills/entroly-lobehub-audit, .github/skills/entroly-lobehub-audit and .opencode/skills/entroly-lobehub-audit in your project.
What does Entroly Lobehub Audit need to run?
SKILL.md names no scripts, command-line tools or credentials: Entroly Lobehub Audit is instructions for the agent only.
Does Entroly Lobehub Audit access the network?
SKILL.md names 1 domain. In commands or code: lobehub.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Entroly Lobehub Audit 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 Lobehub Audit use?
Entroly Lobehub Audit 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 Lobehub Audit use?
About 1.2k tokens (SKILL.md is roughly 5k 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 Lobehub Audit?
Skills that share tags, products or a category with Entroly Lobehub Audit: Context Mode Output Sandbox (mksglu/context-mode, 26k stars), Context Mode for Antigravity CLI (mksglu/context-mode, 26k stars), Claude Code Mastery (borghei/Claude-Skills, 891 stars) and Lemmalog (JordyZomer/lemmalog, 329 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Entroly Lobehub Audit?
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.