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.
Evaluate an AI workflow against representative cases and its permitted actions.
Install Evaluate
$ npx skills add suboss87/FDEOps --skill evaluate -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install suboss87/FDEOps evaluate --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/suboss87/FDEOps.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/evaluate .claude/skills/evaluate && 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 "evaluate" agent skill from https://github.com/suboss87/FDEOps/tree/Main/skills/evaluate into .claude/skills/evaluate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evaluate", 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/suboss87/FDEOps/tree/Main/skills/evaluateType 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 suboss87/FDEOps --skill evaluate -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install suboss87/FDEOps evaluate --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/suboss87/FDEOps.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/evaluate .agents/skills/evaluate && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "evaluate" agent skill from https://github.com/suboss87/FDEOps/tree/Main/skills/evaluate into .agents/skills/evaluate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evaluate", 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 suboss87/FDEOps --skill evaluate -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install suboss87/FDEOps evaluate --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/suboss87/FDEOps.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/evaluate .cursor/skills/evaluate && 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 "evaluate" agent skill from https://github.com/suboss87/FDEOps/tree/Main/skills/evaluate into .cursor/skills/evaluate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evaluate", 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/suboss87/FDEOps.git --path skills/evaluate--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 suboss87/FDEOps --skill evaluate -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install suboss87/FDEOps evaluate --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/suboss87/FDEOps.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/evaluate .gemini/skills/evaluate && 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 "evaluate" agent skill from https://github.com/suboss87/FDEOps/tree/Main/skills/evaluate into .gemini/skills/evaluate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evaluate", 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 suboss87/FDEOps evaluateInstalls 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 suboss87/FDEOps --skill evaluate -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/suboss87/FDEOps.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/evaluate .github/skills/evaluate && 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 "evaluate" agent skill from https://github.com/suboss87/FDEOps/tree/Main/skills/evaluate into .github/skills/evaluate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evaluate", 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 suboss87/FDEOps --skill evaluate -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install suboss87/FDEOps evaluate --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/suboss87/FDEOps.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/evaluate .opencode/skills/evaluate && 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 "evaluate" agent skill from https://github.com/suboss87/FDEOps/tree/Main/skills/evaluate into .opencode/skills/evaluate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evaluate", 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
evaluate- GitHub stars
- 954
- Token cost
- ~344 tokens
- SKILL.md length
- 142 words
- Files
- 12 (incl. references)
- Skills in repo
- 34
- Repo updated
- First seen
- Licence
- MIT
At a glance
Evaluate an AI workflow against representative cases and its permitted actions.
- Works in 2 steps: Read the task context contract. → Read the method.
- Agent evaluation
- SKILL.md covers Purpose and Principles
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Evaluate is an agent skill from suboss87/FDEOps. Evaluate an AI workflow against representative cases and its permitted actions. Use for model, retrieval or agent evaluation; tests do not grant release authority.
Its SKILL.md is about 340 tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including reference files (for example `.fde-generated.json`, `agents/openai.yaml` and `references/build.md`).
It sits in Agent Workflows, covering Agent evaluation and testing. The repository describes itself as: Forward deployed engineering skills for AI coding agents. The licence is MIT.
When your agent uses it
- Agent evaluation
- Tests do not grant release authority
Example prompts
- “/evaluate”
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- Read the task context contract.
- Read the method.
What it can do on your machine
Read from SKILL.md and the folder at commit 64d1d8a. 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
Evaluate loads about 344 tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 43 tokens; SKILL.md has 142 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 suboss87/FDEOps at commit 64d1d8a, republished under its MIT licence (© suboss87). 142 words, ~344 tokens.
Download SKILL.mdSave it as
.claude/skills/evaluate/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.- name
- evaluate
- description
- Evaluate an AI workflow against representative cases and its permitted actions. Use for model, retrieval or agent evaluation; tests do not grant release authority.
evaluate
<!-- Generated by bin/generate-skills.js; edit the canonical references and catalog. -->Purpose
Evaluation results, failure analysis and release evidence.
Before investigating or acting:
- Read the task context contract.
- Read the method.
Load further references only when the task needs them. Everything linked is included in this skill; no other skill pack is required.
Principles
- Work directly from the supplied permitted context. Standalone work does not require an engagement folder or initialization. Record filenames in the method are optional persistence destinations when no engagement is bound.
- If called by @fde, reuse its current sanitized packet and scope. Do not restart setup, discovery or questions already answered.
- The task context contract controls persistence and authority in both modes. Preserve unknowns and distinguish implementation, verification, deployment and acceptance.
- Use the customer's repository instructions and available tools. Report a missing capability or unrun check honestly; do not claim that installing a skill provisions infrastructure.
© suboss87, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 11 other files (references) in skills/evaluate of suboss87/FDEOps.
- SKILL.md
- .fde-generated.json
- agents/openai.yaml
- references/build.md
- references/debug.md
- references/eval-pack.md
- references/integrate.md
- references/qa.md
- references/review.md
- references/ship.md
- references/task-context.md
- references/verification.md
Open the folder on GitHubat commit 64d1d8a
Compare with similar skills
Evaluate 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 |
|---|---|---|---|---|---|---|
| Evaluate this skillsuboss87/FDEOps | 954 | — | ~344 | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 64 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Diagnosing Superpowers Sessionsobra/superpowers | 296k | 3 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Darwin Skill Optimizeralchaincyf/darwin-skill | 6.2k | 1 repos | ~4.7k | Automated safety check: Pass | MIT | |
| Skill Release Gaterohitg00/ai-engineering-from-scratch | 66k | — | ~1k | Automated safety check: Pass | MIT | |
| CodeGraph Agent Evalcolbymchenry/codegraph | 73k | — | ~950 | Automated safety check: Pass | MIT |
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Investigates a session where Superpowers went wrong, reads the transcripts on disk and produces an evidence-cited report, optionally prepared as a bug report for the maintainers.
Darwin Skill Optimizer
alchaincyf/darwin-skill
Scores SKILL.md files on a nine-dimension rubric, then improves them in a keep-or-revert loop with independent judge agents, test prompts, git history and human checkpoints.
Skill Release Gate
rohitg00/ai-engineering-from-scratch
Evaluates an Agent Skill bundle before release for structure, trigger quality, artifact improvement, script correctness, safety, installed-tree integrity and host portability.
CodeGraph Agent Eval
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Benchmarks how much CodeGraph helps a coding agent on a real repository, comparing runs with and without it for a chosen local or published version.
- Official
Copilot Session Failure Analysis
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Mines local Copilot CLI session logs for dotnet/maui to rank costly or failing runs, tag recurring failure modes, propose repo edits and emit guard evals.
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Audit an inherited engagement or implementation against its evidence.
Board Memo
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Draft a board or executive summary of an engagement using outcomes, risks and investment decisions.
Brief
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Clarify a new customer brief, desired outcome, constraints and evidence gaps.
Business Case
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Develop a business case for an initiative using costs, benefits, risks and evidence.
Connect
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Configure or diagnose access to a requested source using available host tools.
Related
Categories
Questions about Evaluate
What does Evaluate do?
Evaluate an AI workflow against representative cases and its permitted actions. Evaluate is an agent skill from suboss87/FDEOps. Evaluate an AI workflow against representative cases and its permitted actions.
When should I use Evaluate?
Evaluate fits situations like: agent evaluation; tests do not grant release authority.
How do I install Evaluate in Claude Code?
Run `npx skills add suboss87/FDEOps --skill evaluate -a claude-code`. Or copy the skill folder (skills/evaluate in suboss87/FDEOps) into .claude/skills/evaluate in your project. Claude Code loads it when a task matches its description.
How do I install Evaluate in Codex?
Run `npx skills add suboss87/FDEOps --skill evaluate -a codex`. Or copy the skill folder (skills/evaluate in suboss87/FDEOps) into .agents/skills/evaluate in your project. Codex loads it when a task matches its description.
Can I use Evaluate 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 suboss87/FDEOps --skill evaluate -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/evaluate, .gemini/skills/evaluate, .github/skills/evaluate and .opencode/skills/evaluate in your project.
What does Evaluate need to run?
SKILL.md names no scripts, command-line tools or credentials: Evaluate is instructions for the agent only.
Does Evaluate 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 Evaluate 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 Evaluate use?
Evaluate is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Evaluate use?
About 344 tokens (SKILL.md is roughly 1.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 12k tokens, read only when the agent opens those files.
What are the alternatives to Evaluate?
Skills that share tags, products or a category with Evaluate: MCP Server Builder (anthropics/skills, 180k stars), Diagnosing Superpowers Sessions (obra/superpowers, 296k stars), Darwin Skill Optimizer (alchaincyf/darwin-skill, 6.2k stars) and Skill Release Gate (rohitg00/ai-engineering-from-scratch, 66k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Evaluate?
suboss87 (a GitHub user) maintains it in suboss87/FDEOps, which has 954 GitHub stars. The repository holds 34 skills in this directory. The repository was last updated on October 8, 2026.
Source: suboss87/FDEOps on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.