Nemo Evaluator SDK
Orchestra-Research/AI-Research-SKILLs
Evaluates LLMs across 100+ benchmarks from 18+ harnesses (MMLU, HumanEval, GSM8K, safety, VLM) with multi-backend execution.
Teaches how to write and run evals on the products/posthogai/evalharness/ harness — sandboxed agent suites that execute the real coding agent in a Docker or Modal sandbox against a seeded Hedgebox…
$ npx skills add PostHog/posthog --skill writing-evals -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install PostHog/posthog writing-evals --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/PostHog/posthog.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/writing-evals .claude/skills/writing-evals && 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 "writing-evals" agent skill from https://github.com/PostHog/posthog/tree/master/.agents/skills/writing-evals into .claude/skills/writing-evals/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "writing-evals", 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/PostHog/posthog/tree/master/.agents/skills/writing-evalsType 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 PostHog/posthog --skill writing-evals -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install PostHog/posthog writing-evals --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/PostHog/posthog.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/writing-evals .agents/skills/writing-evals && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "writing-evals" agent skill from https://github.com/PostHog/posthog/tree/master/.agents/skills/writing-evals into .agents/skills/writing-evals/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "writing-evals", 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 PostHog/posthog --skill writing-evals -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install PostHog/posthog writing-evals --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/PostHog/posthog.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/writing-evals .cursor/skills/writing-evals && 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 "writing-evals" agent skill from https://github.com/PostHog/posthog/tree/master/.agents/skills/writing-evals into .cursor/skills/writing-evals/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "writing-evals", 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/PostHog/posthog.git --path .agents/skills/writing-evals--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 PostHog/posthog --skill writing-evals -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install PostHog/posthog writing-evals --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/PostHog/posthog.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/writing-evals .gemini/skills/writing-evals && 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 "writing-evals" agent skill from https://github.com/PostHog/posthog/tree/master/.agents/skills/writing-evals into .gemini/skills/writing-evals/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "writing-evals", 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 PostHog/posthog writing-evalsInstalls 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 PostHog/posthog --skill writing-evals -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/PostHog/posthog.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/writing-evals .github/skills/writing-evals && 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 "writing-evals" agent skill from https://github.com/PostHog/posthog/tree/master/.agents/skills/writing-evals into .github/skills/writing-evals/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "writing-evals", 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 PostHog/posthog --skill writing-evals -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install PostHog/posthog writing-evals --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/PostHog/posthog.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/writing-evals .opencode/skills/writing-evals && 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 "writing-evals" agent skill from https://github.com/PostHog/posthog/tree/master/.agents/skills/writing-evals into .opencode/skills/writing-evals/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "writing-evals", 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.
writing-evalsTeaches how to write and run evals on the products/posthogai/evalharness/ harness — sandboxed agent suites that execute the real coding agent in a Docker or Modal sandbox against a seeded Hedgebox…
Writing Evals is an agent skill from PostHog/posthog, published by the product's own GitHub organization. Teaches how to write and run evals on the products/posthogai/evalharness/ harness — sandboxed agent suites that execute the real coding agent in a Docker or Modal sandbox against a seeded Hedgebox project, and one-shot suites that score a single in-process model invocation per case. Use when adding or changing eval suites, cases, scorers, seeders, or synthesizers under products/posthogai/evals/ or products//evals/, when touching the harness under products/posthogai/evalharness/, or when running or debugging those…
Its SKILL.md is about 4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/authoring-reference.md` and `references/running-evals.md`).
It sits in AI & LLM Engineering, covering LLM evaluation. It works with PostHog, pytest and Docker. The repository describes itself as: :hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error…
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 10f9ad7. 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.
Shell commands in SKILL.md call:
cargoFrom 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 these keys or tokens, usually read from environment variables:
BRAINTRUST_API_KEYLLM_GATEWAY_ANTHROPIC_API_KEYLLM_GATEWAY_OPENAI_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Writing Evals loads about 4k tokens when it runs, and up to ~8.3k if it reads all its reference files. Until then it costs about 202 tokens; SKILL.md has 1,686 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 noted patterns worth knowing about, such as sudo or a known installer.
- Env is loaded automatically (`.env` by the harness, `.env.local`/`.env.development`/`.env.services` by hogli) and a prAutomated 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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,686 words (~4,047 tokens).
“The harness under products/posthog_ai/eval_harness/ runs two kinds of suites: sandboxed suites execute the real coding agent inside a real sandbox against a seeded Hedgebox project and score what it did, and one-shot suites score a single in-process model invocation per…”
SKILL.md and 2 other files (references) in .agents/skills/writing-evals of PostHog/posthog.
Open the folder on GitHubat commit 10f9ad7
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders. This page covers the copy in PostHog/posthog, which our catalogue first saw on October 7, 2026.
Writing Evals 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 |
|---|---|---|---|---|---|---|
| Writing Evals this skillPostHog/posthog | 40k | — | ~4k | Automated safety check: Notes | Custom licence | |
| Nemo Evaluator SDKOrchestra-Research/AI-Research-SKILLs | 13k | 3 repos | ~3.1k | Automated safety check: Pass | MIT | |
| Code Model Evaluation HarnessOrchestra-Research/AI-Research-SKILLs | 13k | 5 repos | ~2.9k | Automated safety check: Pass | MIT | |
| VLM BCQ Gap AnalysisNVIDIA/skills | 3.5k | — | ~1.3k | Automated safety check: Notes | Apache-2.0 | |
| Multimodal Dataprep Devopen-edge-platform/edge-ai-libraries | 169 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Suite ConverterMargin-Lab/evals | 161 | — | ~3.7k | Automated safety check: Pass | AGPL-3.0 |
Orchestra-Research/AI-Research-SKILLs
Evaluates LLMs across 100+ benchmarks from 18+ harnesses (MMLU, HumanEval, GSM8K, safety, VLM) with multi-backend execution.
Orchestra-Research/AI-Research-SKILLs
Benchmarks code generation models with the BigCode Evaluation Harness across HumanEval, MBPP, MultiPL-E and other suites using pass@k metrics.
NVIDIA/skills
Compares a vision-language model's yes/no predictions with ground truth and writes the false-positive and false-negative cases to a JSONL file with a summary report.
open-edge-platform/edge-ai-libraries
Develop and debug the Multimodal DataPrep microservice: its FastAPI media endpoints, in-process embedding pipeline, batch jobs, object detection, telemetry and Metrics Manager publishing, and…
Margin-Lab/evals
Converts test suites from external eval frameworks into the Margin Eval suite format.
fike/fastapi-blog
Skill for identifying code smells and refactoring code using Clean Code, SOLID, and DRY principles.
PostHog/posthog
Author useful, low-noise log alerts on services in a PostHog project.
PostHog/posthog
Operating procedure for the conflict-autoresolver agent: sweep open PostHog/posthog PRs that conflict with master, resolve the trivial conflicts (generated artifacts deterministically, source…
PostHog/posthog
Help users debug PostHog Error Tracking stack-trace symbolication for any supported platform — JavaScript/TypeScript web, React Native (Hermes), Android (Proguard / R8), or iOS / macOS (dSYM).
PostHog/posthog
Investigates distributed application performance using PostHog APM (OpenTelemetry span) data via MCP.
PostHog/posthog
Debug and inspect LLM/AI agent traces using PostHog's MCP tools.
PostHog/posthog
Diagnose why a product metric changed (dropped, spiked, or plateaued) by orchestrating breakdowns, actors, paths, lifecycle, retention, and annotations queries.
Categories
Teaches how to write and run evals on the products/posthogai/evalharness/ harness — sandboxed agent suites that execute the real coding agent in a Docker or Modal sandbox against a seeded Hedgebox…. Writing Evals is an agent skill from PostHog/posthog, published by the product's own GitHub organization. Teaches how to write and run evals on the products/posthogai/evalharness/ harness — sandboxed agent suites that execute the real coding agent in a Docker or Modal sandbox against a seeded Hedgebox project, and one-shot suites that score a single in-process model invocation per case.
Writing Evals fits situations like: changing eval suites; synthesizers under products/posthogai/evals/; products//evals/; touching the harness under products/posthogai/evalharness/.
Run `npx skills add PostHog/posthog --skill writing-evals -a claude-code`. Or copy the skill folder (.agents/skills/writing-evals in PostHog/posthog) into .claude/skills/writing-evals in your project. Claude Code loads it when a task matches its description.
Run `npx skills add PostHog/posthog --skill writing-evals -a codex`. Or copy the skill folder (.agents/skills/writing-evals in PostHog/posthog) into .agents/skills/writing-evals 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 PostHog/posthog --skill writing-evals -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/writing-evals, .gemini/skills/writing-evals, .github/skills/writing-evals and .opencode/skills/writing-evals in your project.
Going by SKILL.md and its folder, Writing Evals needs the command-line tools its instructions call (cargo) and credentials named BRAINTRUST_API_KEY, LLM_GATEWAY_ANTHROPIC_API_KEY and LLM_GATEWAY_OPENAI_API_KEY. Our summary lists: Python 3; Docker; A credential in BRAINTRUST_API_KEY; A credential in LLM_GATEWAY_ANTHROPIC_API_KEY.
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 notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Writing Evals has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 4k tokens (SKILL.md is roughly 16k 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 4.2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Writing Evals: Nemo Evaluator SDK (Orchestra-Research/AI-Research-SKILLs, 13k stars), Code Model Evaluation Harness (Orchestra-Research/AI-Research-SKILLs, 13k stars), VLM BCQ Gap Analysis (NVIDIA/skills, 3.5k stars) and Multimodal Dataprep Dev (open-edge-platform/edge-ai-libraries, 169 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
PostHog (a GitHub organization, an official publisher) maintains it in PostHog/posthog, which has 40,182 GitHub stars. The repository holds 252 skills in this directory. The repository was last updated on October 8, 2026.
Source: PostHog/posthog on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.