Write Skill
druxt/druxt.js
Creates or changes a druxt.js contributor skill in .agents/skills, with its evals and the tests that gate it.
Evaluates a repository's agent harness (AGENTS.md, rules, skills) for broken paths, redundant instructions and usefulness, and stops at reports.
$ npx skills add tech-leads-club/agent-skills --skill harness-eval -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tech-leads-club/agent-skills harness-eval --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/tech-leads-club/agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'packages/skills-catalog/skills/(development)/harness-eval' .claude/skills/harness-eval && 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 "harness-eval" agent skill from https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(development)/harness-eval into .claude/skills/harness-eval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "harness-eval", 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/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(development)/harness-evalType 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 tech-leads-club/agent-skills --skill harness-eval -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tech-leads-club/agent-skills harness-eval --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tech-leads-club/agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/'packages/skills-catalog/skills/(development)/harness-eval' .agents/skills/harness-eval && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "harness-eval" agent skill from https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(development)/harness-eval into .agents/skills/harness-eval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "harness-eval", 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 tech-leads-club/agent-skills --skill harness-eval -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tech-leads-club/agent-skills harness-eval --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tech-leads-club/agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/'packages/skills-catalog/skills/(development)/harness-eval' .cursor/skills/harness-eval && 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 "harness-eval" agent skill from https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(development)/harness-eval into .cursor/skills/harness-eval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "harness-eval", 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/tech-leads-club/agent-skills.git --path 'packages/skills-catalog/skills/(development)/harness-eval'--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 tech-leads-club/agent-skills --skill harness-eval -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tech-leads-club/agent-skills harness-eval --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tech-leads-club/agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/'packages/skills-catalog/skills/(development)/harness-eval' .gemini/skills/harness-eval && 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 "harness-eval" agent skill from https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(development)/harness-eval into .gemini/skills/harness-eval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "harness-eval", 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 tech-leads-club/agent-skills harness-evalInstalls 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 tech-leads-club/agent-skills --skill harness-eval -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/tech-leads-club/agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/'packages/skills-catalog/skills/(development)/harness-eval' .github/skills/harness-eval && 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 "harness-eval" agent skill from https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(development)/harness-eval into .github/skills/harness-eval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "harness-eval", 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 tech-leads-club/agent-skills --skill harness-eval -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tech-leads-club/agent-skills harness-eval --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tech-leads-club/agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/'packages/skills-catalog/skills/(development)/harness-eval' .opencode/skills/harness-eval && 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 "harness-eval" agent skill from https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(development)/harness-eval into .opencode/skills/harness-eval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "harness-eval", 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.
harness-evalEvaluates a repository's agent harness (AGENTS.md, rules, skills) for broken paths, redundant instructions and usefulness, and stops at reports.
Harness Eval audits the files that steer an agent in a repository: AGENTS.md, rules, skills and the references they point to. It looks for broken paths and commands, redundant instructions and how useful each piece is, using a stack-agnostic protocol in which two judges review claims and planted traps check the judges. It always ends at reports and does not edit AGENTS.md or skills unless you ask after reviewing the Ship and Slim recommendations.
The run is gated by questions. After an inventory step it asks whether optional project docs outside the skill folders should be in scope, with ADRs and RFCs excluded from one tier, then asks which tracks to run before any spending. Track A, a deterministic correctness check that costs close to no model tokens, always runs; tracks B and C use model judges and run only if you approve. Verdicts use the labels Ship, Review, Hold, Slim and Keep-core. Python scripts handle inventory, surface extraction, correctness and merging of judge results, and PROTOCOL.md must be read in full first.
11 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 6df68d5. 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.
Ships 7 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From 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.
Harness Eval loads about 3.9k tokens when it runs, and up to ~9.4k if it reads all its reference files. Until then it costs about 212 tokens; SKILL.md has 1,578 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); the scripts in this folder are not scanned.
The full file from tech-leads-club/agent-skills at commit 6df68d5, republished under its CC-BY-4.0 licence (© tech-leads-club). 1,578 words, ~3,865 tokens.
.claude/skills/harness-eval/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.Run a full, stack-agnostic harness evaluation and stop at reports. Do not auto-edit AGENTS.md or skills unless the user explicitly asks after reviewing Ship/Slim.
Stop and ask before continuing. Do not skip these gates. Do not silently include optional docs or spawn B/C judges.
Order after inventory: Q1 (if needed) → Q2 → then Track A (A always runs) → B/C only if approved.
When optional-docs-candidates.md lists optional types, ask before Q2 / Track A:
Inventory found cited project docs outside the agent skill trees.
- **Always in scope:** skill-tree files (`.agents/skills`, `.cursor/skills`, `.claude/skills`)
- **Always excluded:** ADRs / RFCs / decision-record trees (never scored as T2)
- **Optional (default: omit):** see types/paths in `optional-docs-candidates.md`
Include any optional doc types or paths in this run?
Reply with: `none` (default), type ids (e.g. `docs`), and/or specific paths.Re-run inventory with --include-doc-type / --include-doc only after the user answers. If no optional types, skip Q1.
Ask before Track A so the user sets spend up front. Track A always runs next (deterministic, ~0 model tokens). B/C run only if approved.
Choose eval scope for this run (before Track A).
| Track | Question | Certainty | Token consumption |
|-------|----------|-----------|-------------------|
| **A — Correctness** | Cited path/command exists? | **Highest** — script only, no LLM. Prefers false negatives over false BROKEN. | **~0 model tokens** (always runs next) |
| **B — Redundancy** | Would an agent rediscover this cheaply without the harness? | **Medium** — dual LLM + plants; Ship only if trap PASS and both agree. Disagree → Hold. Less model-sensitive than C. | **High** — 2 judges × every claim (~N in this inventory). Each may spot-check the repo. |
| **C — Usefulness** | Does this surface change behavior vs theory/demo/overlap? | **Lowest / most subjective** — dual LLM + plants + fan-in; **model-sensitive**. Slim/Mixed need gates; prefer second-model check before large deletes. | **Highest** — 2 judges × every surface (whole files; often dominates the run). |
Notes: Ship (B) ≠ Slim (C). Rediscoverable ≠ useless. A always runs; B/C are optional.
Reply with one of: `A only`, `B`, `C`, or `B+C`.Fill claim count from claims.md when known; surface count ≈ T0+T1+T2 markdown after extract (or say “after surfaces_extract” if not run yet).
A only: run Track A; present 04; stop (no B/C judges).B: Track A, then Steps 4–6.C: Track A, then Steps 7–10 (C does not need B).B+C: Track A, then Steps 4–11.If the user already requested B/C/full eval in the triggering message, treat as approval — still show the Q2 table once so costs are visible.
This skill is self-contained. Protocol, scripts, and judge prompts live under this skill directory (the folder that contains this SKILL.md). Resolve SKILL_DIR as that directory — never assume another install path.
04 / 07 / 10 reports).python3 "$SKILL_DIR/scripts/<name>.py" ....Run outputs (not protocol) go to the target repo at .harness-eval/runs/<run-id>/.
bin/*)..agents/skills, .cursor/skills, .claude/skills). ADRs / RFCs (decision-record trees) are always excluded from T2 surfaces. Other cited project docs are optional — default omit; ask via Q1 at the top of this skill, then re-run with --include-doc-type / --include-doc.SPEC_FOLDER, {x}, [feature]) are never BROKEN. Never normalize paths with str.lstrip('./').trap-key.json). Ship only if trap gate PASS and dual REDUNDANT with Judge2 cost ≤ 1.08-usefulness-j1.md or usefulness-trap-key.json. Slim only if trap PASS, dual SLIM/ROUTING-ONLY, and fan-in PASS (no other harness surface hard-loads the path as SoT — merge enforces this on the full skill tree, not just --seed). Usefulness is model-sensitive — record model: <id> in both score files; prefer same model within a run; re-judge on a second model before large Slim deletes.*-fast models.python3 "$SKILL_DIR/scripts/slim_fanin.py" --path <P> reports citers) unless those consumers are updated in the same change.See app/... / lib/... / test/... — that swaps SoT for a code-tree pointer. Judge evidence paths stay in score tables only; if the behavior-changing contract must survive, keep a short in-skill rule or snippet.11-mixed-apply.md with per-ID KEEP (from Keep-core columns) and CUT (from Slim columns). Apply agents must follow that file only — do not re-judge, redesign, or invent a different pattern than KEEP. Empty Keep-core/Slim cells → skip that path (Hold).Set SKILL_DIR to the directory containing this SKILL.md. Verify:
$SKILL_DIR/references/PROTOCOL.md$SKILL_DIR/scripts/inventory_extract.py$SKILL_DIR/scripts/track_a_correctness.py$SKILL_DIR/scripts/merge_agreement.py$SKILL_DIR/scripts/surfaces_extract.py$SKILL_DIR/scripts/merge_usefulness.py$SKILL_DIR/scripts/slim_fanin.py$SKILL_DIR/scripts/doc_scope.pyIf missing, the skill install is broken — stop.
From the target repo root:
RUN_ID=$(date -u +%Y-%m-%d)-full
python3 "$SKILL_DIR/scripts/inventory_extract.py" --root . --run-id "$RUN_ID"
# Optional scope: AGENTS.md + one-hop related skills only
# python3 "$SKILL_DIR/scripts/inventory_extract.py" --root . --run-id "$RUN_ID" --seed AGENTS.mdExpected under .harness-eval/runs/$RUN_ID/: inventory.json, claims.jsonl, claims.md, trap-key.json, optional-docs-candidates.md (+ .json).
Read optional-docs-candidates.md. If optional types exist, run Q1 from User questionnaires. Re-run inventory only after approval:
python3 "$SKILL_DIR/scripts/inventory_extract.py" --root . --run-id "$RUN_ID" \
--include-doc-type docs # and/or --include-doc pathRun Q2 from User questionnaires before Track A. Record the answer (A only / B / C / B+C). Do not start Steps 4+ unless B and/or C were approved.
python3 "$SKILL_DIR/scripts/track_a_correctness.py" --root . --run-id "$RUN_ID"Expected: 04-correctness.md (includes term definitions at top). Spot-check that .agents/... cites resolve (not agents/...).
Summarize Track A (broken count + notable clusters). If Q2 was A only, stop. Otherwise continue to the approved B and/or C steps.
Read references/judge-prompts.md (Track B Judge1). Spawn an independent subagent with an allowlisted model. Point it at .harness-eval/runs/$RUN_ID/claims.md. It writes 05-redundancy-j1.md (include model: <id>).
Judge1 may read inventory.json. Must not read trap-key.json.
Read references/judge-prompts.md (Track B Judge2). Spawn a second subagent. Writes 06-blind-scores.md.
Forbidden for Judge2: trap-key.json, 05-redundancy-j1.md, 07-agreement.md, prior agreement reports.
Prefer Steps 4 and 5 in parallel.
python3 "$SKILL_DIR/scripts/merge_agreement.py" --run-dir .harness-eval/runs/$RUN_IDExpected: 07-agreement.md (Ship/Review/Hold + What these words mean). On trap FAIL: fix plants per PROTOCOL, rescore P00x, re-merge — do not Ship.
python3 "$SKILL_DIR/scripts/surfaces_extract.py" --root . --run-id "$RUN_ID"Expected: surfaces.md, surfaces.json, usefulness-trap-key.json.
Read references/judge-prompts.md (Usefulness Judge1). Spawn subagent with allowlisted model (record same id in header). Writes 08-usefulness-j1.md.
Must not read usefulness-trap-key.json.
Read Usefulness Judge2 prompt. Prefer same model as Step 8 for agreement stability. Writes 09-usefulness-j2.md.
Forbidden: usefulness-trap-key.json, 08-usefulness-j1.md, 10-usefulness-agreement.md, and using Track B 05/06/07 to decide usefulness classes.
Prefer Steps 8 and 9 in parallel.
python3 "$SKILL_DIR/scripts/merge_usefulness.py" --run-dir .harness-eval/runs/$RUN_IDExpected: 10-usefulness-agreement.md (Slim/Keep-core/Mixed/Hold + What these words mean), 11-mixed-apply.md (KEEP/CUT per Mixed ID), plus slim-fanin.json. On trap FAIL: do not Slim. Surfaces with slim-fanin-blocked are Hold — not Slim apply candidates.
Summarize from the agreement reports (each starts with term definitions):
04-correctness.md07-agreement.md10-usefulness-agreement.md11-mixed-apply.md when Mixed count > 0 (the only Mixed apply path)Stop unless the user asks to apply Ship/Slim/Mixed. When applying:
11-mixed-apply.md and execute KEEP/CUT per ID only (rule 12). Never re-judge from the Mixed path list alone. Never add code-tree path pointers as substitutes for cut demos (rule 11).User says: "run harness eval on this repo"
Actions: inventory → Q1 if needed → Q2 (B/C budget table) → Track A → if approved, Steps 4–11. Parallel B judges, then C judges. Present agreements (terms are in the files).
User says: "run Track C usefulness on the last harness-eval run"
Actions: Steps 7–11 on that RUN_ID (inventory must already exist).
User says: "setup harness" / "init harness" → harness setup (not this skill). User says: "specify feature" → tlc-spec-driven.
Cause: KEEP/KEEP-CORE plants were deck duplicates, or blind judge mis-family. Solution: use skill’s fixed plant templates; rescore plants; re-merge.
.agents/...Cause: bad path normalization. Solution: skill script must use normalize_cite (strip ./ only). Re-run Track A from $SKILL_DIR/scripts/.
Cause: missing/allowlisted model or *-fast blocked. Solution: re-spawn with an allowlisted non-fast model.
Expected: usefulness is model-sensitive. Re-run C1+C2 on a second model; intersection of Slim bands is the safe delete set.
Cause: apply agent re-judged from the Mixed path list instead of following KEEP/CUT. Solution: apply only via 11-mixed-apply.md; if that file is missing, re-run merge_usefulness.py; if Keep-core/Slim cells are vague, re-score those IDs before apply.
references/ missing from inventoryCause: path normalize used lstrip("./") and turned .agents/… into agents/…. Solution: doc_scope.normalize_rel must strip only a ./ prefix (same rule as Track A).
Cause: old inventory treated all one-hop docs/** as T2. Solution: v1.7+ excludes decision-record trees; only user-approved optional doc types (never ADR/RFC) can enter T2.
Cause: content OVERLAP/Slim without fan-in — older runs, or apply skipped the gate. Solution: restore the checklist body; re-merge with merge_usefulness.py (fan-in scans full skill trees). Confirm with slim_fanin.py --path <P>.
Cause: incomplete skill folder. Solution: restore $SKILL_DIR/scripts/ and references/.
© tech-leads-club, CC-BY-4.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 11 other files (scripts, references) in packages/skills-catalog/skills/(development)/harness-eval of tech-leads-club/agent-skills.
Open the folder on GitHubat commit 6df68d5
Harness Eval 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 |
|---|---|---|---|---|---|---|
| Harness Eval this skilltech-leads-club/agent-skills | 7k | — | ~3.9k | Automated safety check: Pass | CC-BY-4.0 | |
| Write Skilldruxt/druxt.js | 114 | — | ~926 | Automated safety check: Pass | MIT | |
| Waza Skill Evaluatormicrosoft/waza | 1.4k | — | ~2k | Automated safety check: Pass | MIT | |
| Waza Interactivemicrosoft/waza | 1.4k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Learn From History AuditKonghaYao/peri | 226 | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | |
| Skill CreatorZS520L/HanakoPro | 103 | — | ~7.4k | Automated safety check: Pass | Apache-2.0 |
druxt/druxt.js
Creates or changes a druxt.js contributor skill in .agents/skills, with its evals and the tests that gate it.
microsoft/waza
Evaluates agent skills with a Go CLI that runs YAML-defined benchmarks, compares runs and scores the quality of SKILL.md frontmatter.
microsoft/waza
Walks you through creating, running and reading waza evals for an agent skill, then proposes concrete fixes when tasks fail or the score is low.
KonghaYao/peri
Audits recent agent conversation history and turns repeated failures and successes into testable harness improvement proposals that later audits can check.
ZS520L/HanakoPro
Create new skills, modify and improve existing skills, and measure skill performance.
avibebuilder/claude-prime
A skill your agent uses when the user wants to work on a Claude Code skill file (SKILL.md): writing one from scratch, testing whether an existing one works well, running evals or benchmarks…
tech-leads-club/agent-skills
Guides design of modular-monolith platforms with DDD, flat-by-aggregate modules, anti-corruption layers, outbox events and resilience, plus an architecture document with SVG diagrams.
tech-leads-club/agent-skills
Generates Excalidraw diagram files from plain descriptions, choosing among flowcharts, mind maps, architecture, swimlane, class, sequence and ER diagrams.
tech-leads-club/agent-skills
Creates, validates and renders Mermaid diagrams to SVG, PNG or ASCII, including C4 and AWS architecture-beta, flowcharts, sequence diagrams and ERDs.
tech-leads-club/agent-skills
Answers AWS architecture, security and service-selection questions by searching AWS documentation through MCP tools first, then adapting advice to your stack and team.
tech-leads-club/agent-skills
Designs scalable NestJS modular monoliths with domain-driven design, Clean Architecture layers and optional CQRS, defining bounded contexts and strict module boundaries.
tech-leads-club/agent-skills
Guides you through designing a new agent skill by conversation, from discovery questions and architecture to drafting SKILL.md, validation and delivery.
Categories
Evaluates a repository's agent harness (AGENTS.md, rules, skills) for broken paths, redundant instructions and usefulness, and stops at reports. md, rules, skills and the references they point to. It looks for broken paths and commands, redundant instructions and how useful each piece is, using a stack-agnostic protocol in which two judges review claims and planted traps check the judges.
Harness Eval fits situations like: auditing AGENTS.md and skill files for broken paths and commands; finding redundant or duplicated instructions across an agent harness; judging which skills and rules are actually useful before trimming; producing a Ship, Review, Hold, Slim or Keep-core report for a harness.
Run `npx skills add tech-leads-club/agent-skills --skill harness-eval -a claude-code`. Or copy the skill folder (packages/skills-catalog/skills/(development)/harness-eval in tech-leads-club/agent-skills) into .claude/skills/harness-eval in your project. Claude Code loads it when a task matches its description.
Run `npx skills add tech-leads-club/agent-skills --skill harness-eval -a codex`. Or copy the skill folder (packages/skills-catalog/skills/(development)/harness-eval in tech-leads-club/agent-skills) into .agents/skills/harness-eval 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 tech-leads-club/agent-skills --skill harness-eval -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/harness-eval, .gemini/skills/harness-eval, .github/skills/harness-eval and .opencode/skills/harness-eval in your project.
Going by SKILL.md and its folder, Harness Eval needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python to run the bundled scripts.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Harness Eval is published under the CC-BY-4.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.9k tokens (SKILL.md is roughly 15k 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 5.6k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Harness Eval: Write Skill (druxt/druxt.js, 114 stars), Waza Skill Evaluator (microsoft/waza, 1.4k stars), Waza Interactive (microsoft/waza, 1.4k stars) and Learn From History Audit (KonghaYao/peri, 226 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
tech-leads-club (a GitHub organization) maintains it in tech-leads-club/agent-skills, which has 7,045 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on October 9, 2026.
Source: tech-leads-club/agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.