MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Adversarial scrutiny procedure for engineering validation assignments.
$ npx skills add Intelligent-Internet/zenith --skill scrutiny-validator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Intelligent-Internet/zenith scrutiny-validator --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/Intelligent-Internet/zenith.git skills-src && mkdir -p .claude/skills && cp -r skills-src/zenith/src/zenith_harness/bundled/skills/scrutiny-validator .claude/skills/scrutiny-validator && 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 "scrutiny-validator" agent skill from https://github.com/Intelligent-Internet/zenith/tree/main/zenith/src/zenith_harness/bundled/skills/scrutiny-validator into .claude/skills/scrutiny-validator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scrutiny-validator", 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/Intelligent-Internet/zenith/tree/main/zenith/src/zenith_harness/bundled/skills/scrutiny-validatorType 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 Intelligent-Internet/zenith --skill scrutiny-validator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Intelligent-Internet/zenith scrutiny-validator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Intelligent-Internet/zenith.git skills-src && mkdir -p .agents/skills && cp -r skills-src/zenith/src/zenith_harness/bundled/skills/scrutiny-validator .agents/skills/scrutiny-validator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "scrutiny-validator" agent skill from https://github.com/Intelligent-Internet/zenith/tree/main/zenith/src/zenith_harness/bundled/skills/scrutiny-validator into .agents/skills/scrutiny-validator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scrutiny-validator", 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 Intelligent-Internet/zenith --skill scrutiny-validator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Intelligent-Internet/zenith scrutiny-validator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Intelligent-Internet/zenith.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/zenith/src/zenith_harness/bundled/skills/scrutiny-validator .cursor/skills/scrutiny-validator && 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 "scrutiny-validator" agent skill from https://github.com/Intelligent-Internet/zenith/tree/main/zenith/src/zenith_harness/bundled/skills/scrutiny-validator into .cursor/skills/scrutiny-validator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scrutiny-validator", 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/Intelligent-Internet/zenith.git --path zenith/src/zenith_harness/bundled/skills/scrutiny-validator--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 Intelligent-Internet/zenith --skill scrutiny-validator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Intelligent-Internet/zenith scrutiny-validator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Intelligent-Internet/zenith.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/zenith/src/zenith_harness/bundled/skills/scrutiny-validator .gemini/skills/scrutiny-validator && 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 "scrutiny-validator" agent skill from https://github.com/Intelligent-Internet/zenith/tree/main/zenith/src/zenith_harness/bundled/skills/scrutiny-validator into .gemini/skills/scrutiny-validator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scrutiny-validator", 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 Intelligent-Internet/zenith scrutiny-validatorInstalls 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 Intelligent-Internet/zenith --skill scrutiny-validator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Intelligent-Internet/zenith.git skills-src && mkdir -p .github/skills && cp -r skills-src/zenith/src/zenith_harness/bundled/skills/scrutiny-validator .github/skills/scrutiny-validator && 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 "scrutiny-validator" agent skill from https://github.com/Intelligent-Internet/zenith/tree/main/zenith/src/zenith_harness/bundled/skills/scrutiny-validator into .github/skills/scrutiny-validator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scrutiny-validator", 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 Intelligent-Internet/zenith --skill scrutiny-validator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Intelligent-Internet/zenith scrutiny-validator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Intelligent-Internet/zenith.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/zenith/src/zenith_harness/bundled/skills/scrutiny-validator .opencode/skills/scrutiny-validator && 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 "scrutiny-validator" agent skill from https://github.com/Intelligent-Internet/zenith/tree/main/zenith/src/zenith_harness/bundled/skills/scrutiny-validator into .opencode/skills/scrutiny-validator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scrutiny-validator", 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.
scrutiny-validatorAdversarial scrutiny procedure for engineering validation assignments.
Scrutiny Validator is an agent skill from Intelligent-Internet/zenith. Adversarial scrutiny procedure for engineering validation assignments. Runs hard-gate commands, reviews the current implementation and evidence integrity against assigned contracts, can use feature-reviewer lanes, and returns per-target verdicts.
Its SKILL.md is about 1.8k 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. It works with Model Context Protocol. The repository describes itself as: Zenith: a continuous-improvement harness for long-running agent tasks. Turns Claude Code, Codex, or Hermes into a multi-agent mission orchestrator via MCP/ACP. The licence is Apache-2.0.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit a8d9b57. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Scrutiny Validator loads about 1.8k tokens when it runs. Until then it costs about 66 tokens; SKILL.md has 770 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.
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.
The full file from Intelligent-Internet/zenith at commit a8d9b57, republished under its Apache-2.0 licence (© Intelligent-Internet). 770 words, ~1,798 tokens.
.claude/skills/scrutiny-validator/SKILL.md (or your agent's skills folder).Use this skill when the validation assignment asks for implementation scrutiny, hard-gate command review, evidence-integrity audit, or source review for engineering targets.
Scrutiny is not a substitute for real user/caller/operator surface validation. Use user-testing-validator or another surface-specific validator when the contract requires behavior through a real interface.
Read:
Surface, Needs,
Behavior, Evidence, and optional Fail, Oracle, or Scope, but accept
equivalent headings such as Statement for behavior, Evidence Floor for
required evidence, and Non-Goals or Notes for boundaries.AGENTS.md.Establish scope
Statement, Evidence Floor, Non-Goals, and
Notes when they provide the same meaning.Needs and Evidence requirements before reviewing
implementation or evidence surfaces. Do not assume prerequisites, setup,
fixtures, services, source baselines, or accepted decisions that are not
present.Run hard-gate commands
<evidence_dir> when useful: command
logs, focused outputs, generated-output diffs, fixture/golden review notes,
or source-baseline comparison notes.Review implementation
Review evidence integrity
Evidence field. Missing
required evidence owned by this validation task means passed=false.Use feature-reviewer lanes when useful
feature-reviewer with one bounded review question, assigned target ids,
contract paths or bodies, relevant current-checkout files or surfaces,
relevant evidence artifacts or command output, claimed changes or prior
reports as leads when useful, allowed commands/probes/evidence-write
locations, off-limits surfaces, and expected output shape.Write regression ledger entries
<regressions_dir>/<item_id>.md with the failing command, review finding,
observation, unmet Needs, missing Evidence, artifact paths, and
reproduction details.Return verdicts
items[] entry per assigned target.passed=true only when every check owned by this scrutiny assignment
passes, relevant contract prerequisites are accounted for, scrutiny evidence
artifacts are collected, and no integrity or responsibility-drift issue
blocks the target.Blocking findings include:
Needs.Prefer passed=false with concrete limitations over speculative passes.
## Hard-Gate Commands
- `<command>` -> exit <code>. <focused output>
## Per-Target Verdicts
### <target-id>: passed | failed
- Needs: <checked prerequisites, unmet dependencies, or None>
- Evidence: <commands/source review/artifacts collected and any named sibling evidence owner>
- Review: <why contract is or is not satisfied>
## Evidence Integrity
- <changed proof surfaces, missing evidence, and credibility impact>
## Responsibility Drift
- <none or concrete drift>
## Review Limitations
- <unreviewed areas and why>
## Guidance Suggestions
- <optional skill/AGENTS.md/setup guidance for orchestrator>Call end_node with one item per assigned target, then exit immediately.
© Intelligent-Internet, 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
Just SKILL.md in zenith/src/zenith_harness/bundled/skills/scrutiny-validator of Intelligent-Internet/zenith.
Open the folder on GitHubat commit a8d9b57
Scrutiny Validator 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 |
|---|---|---|---|---|---|---|
| Scrutiny Validator this skillIntelligent-Internet/zenith | 337 | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 5 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| MemPalace Memory SearchMemPalace/mempalace | 59k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Crush Configurationcharmbracelet/crush | 29k | — | ~3.7k | Automated safety check: Pass | Custom licence |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
shareAI-lab/learn-claude-code
Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.
anthropics/claude-plugins-official
Explains how to bundle Model Context Protocol servers in a Claude Code plugin, covering config files, stdio, SSE, HTTP and WebSocket server types, and authentication.
MemPalace/mempalace
Mines project files and conversation exports into a local, searchable memory palace and recalls past work by semantic search through the mempalace CLI.
charmbracelet/crush
Explains how to configure the Crush coding agent with crushrc or crush.json, covering providers, models, LSPs, MCP servers, hooks, permissions and config precedence.
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.
Intelligent-Internet/zenith
A skill your agent uses when planning or replanning engineering missions that create, change, port, migrate, integrate, or preserve durable codebase behavior across UI, API, CLI, background jobs…
Intelligent-Internet/zenith
Benchmark validation procedure for one assigned benchmark-related target.
Intelligent-Internet/zenith
Real-surface validation coordinator for engineering validation assignments.
Intelligent-Internet/zenith
Automates browser and Electron app interactions for user-flow validation.
Intelligent-Internet/zenith
Domain playbook for optimization missions — any task whose goal is to move a metric: performance, latency, throughput, memory, cost, score, quality, compression, ranking, solver, model/eval, and…
Works with
Categories
Adversarial scrutiny procedure for engineering validation assignments. Scrutiny Validator is an agent skill from Intelligent-Internet/zenith. Adversarial scrutiny procedure for engineering validation assignments.
Scrutiny Validator fits situations like: agent Workflows work in your project.
Run `npx skills add Intelligent-Internet/zenith --skill scrutiny-validator -a claude-code`. Or copy the skill folder (zenith/src/zenith_harness/bundled/skills/scrutiny-validator in Intelligent-Internet/zenith) into .claude/skills/scrutiny-validator in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Intelligent-Internet/zenith --skill scrutiny-validator -a codex`. Or copy the skill folder (zenith/src/zenith_harness/bundled/skills/scrutiny-validator in Intelligent-Internet/zenith) into .agents/skills/scrutiny-validator in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Intelligent-Internet/zenith --skill scrutiny-validator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scrutiny-validator, .gemini/skills/scrutiny-validator, .github/skills/scrutiny-validator and .opencode/skills/scrutiny-validator in your project.
SKILL.md names no scripts, command-line tools or credentials: Scrutiny Validator is instructions for the agent only.
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.
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.
Scrutiny Validator 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.
About 1.8k tokens (SKILL.md is roughly 7.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Scrutiny Validator: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and MemPalace Memory Search (MemPalace/mempalace, 59k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Intelligent-Internet (a GitHub organization) maintains it in Intelligent-Internet/zenith, which has 337 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on September 6, 2026.
Source: Intelligent-Internet/zenith on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.