# Send Hle Benchmark Evolver to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "hle-benchmark-evolver", "name": "Hle Benchmark Evolver", "source": "tencent", "type": "skill", "category": "AI 智能", "sourceUrl": "https://clawhub.ai/wanng-ide/hle-benchmark-evolver", "canonicalUrl": "https://clawhub.ai/wanng-ide/hle-benchmark-evolver", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/hle-benchmark-evolver", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=hle-benchmark-evolver", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "SKILL.md", "assets/hle_report.sample.json", "index.js", "package.json", "run_pipeline.js", "run_result.js" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "slug": "hle-benchmark-evolver", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-05-01T20:26:41.820Z", "expiresAt": "2026-05-08T20:26:41.820Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=hle-benchmark-evolver", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=hle-benchmark-evolver", "contentDisposition": "attachment; filename=\"hle-benchmark-evolver-1.0.0.zip\"", "redirectLocation": null, "bodySnippet": null, "slug": "hle-benchmark-evolver" }, "scope": "item", "summary": "Item download looks usable.", "detail": "Yavira can redirect you to the upstream package for this item.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/hle-benchmark-evolver" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/hle-benchmark-evolver", "downloadUrl": "https://openagent3.xyz/downloads/hle-benchmark-evolver", "agentUrl": "https://openagent3.xyz/skills/hle-benchmark-evolver/agent", "manifestUrl": "https://openagent3.xyz/skills/hle-benchmark-evolver/agent.json", "briefUrl": "https://openagent3.xyz/skills/hle-benchmark-evolver/agent.md" } } ``` ## Documentation ### HLE Benchmark Evolver This skill operationalizes HLE score-driven evolution for OpenClaw. ### When to Use User asks to improve HLE score (for example target >= 60%). User provides question-level benchmark output and wants it converted to reward. User wants easy-first curriculum queue and next-focus questions. User asks for an immediate benchmark result snapshot. ### Inputs Benchmark report JSON path (--report=/abs/path/report.json) Optional benchmark id (cais/hle default) ### Workflow Validate the report JSON exists and is parseable. Ingest report into capability-evolver benchmark reward state. Generate curriculum signals: benchmark_* curriculum_stage:* focus_subject:* focus_modality:* question_focus:* Return a compact result summary for this run. ### Run node skills/hle-benchmark-evolver/run_result.js --report=/absolute/path/hle_report.json Full automatic loop (starts evolution cycle): node skills/hle-benchmark-evolver/run_pipeline.js --report=/absolute/path/hle_report.json --cycles=1 If your evaluator can be called from shell, let pipeline generate the report each cycle: node skills/hle-benchmark-evolver/run_pipeline.js \\ --report=/absolute/path/hle_report.json \\ --eval_cmd="python /path/to/eval_hle.py --out {{report}}" \\ --cycles=3 --interval_ms=2000 If no --report is provided, it defaults to: skills/capability-evolver/assets/gep/hle_report.template.json ### Output Contract Always print JSON with these fields: benchmark_id run_id accuracy reward trend curriculum_stage queue_size focus_subjects focus_modalities next_questions ### Notes This skill handles reward/curriculum ingestion. It does not directly solve HLE questions. run_pipeline.js links ingestion, evolve, and solidify into one executable loop. ## Trust - Source: tencent - Verification: Indexed source record - Publisher: wanng-ide - Version: 1.0.0 ## Source health - Status: healthy - Item download looks usable. - Yavira can redirect you to the upstream package for this item. - Health scope: item - Reason: direct_download_ok - Checked at: 2026-05-01T20:26:41.820Z - Expires at: 2026-05-08T20:26:41.820Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/hle-benchmark-evolver) - [Send to Agent page](https://openagent3.xyz/skills/hle-benchmark-evolver/agent) - [JSON manifest](https://openagent3.xyz/skills/hle-benchmark-evolver/agent.json) - [Markdown brief](https://openagent3.xyz/skills/hle-benchmark-evolver/agent.md) - [Download page](https://openagent3.xyz/downloads/hle-benchmark-evolver)