Benchmark
affaan-m/ECC
Measure performance baselines and detect regressions across browser Core Web Vitals (LCP, INP, CLS, page weight), API endpoint latency percentiles, and build/test feedback times, with before/after…
Run the additional paper-compatible optimization workflow with a frozen benchmark repository.
Custom licenceAuto-check passed
Install Skillhone Benchmark Optimization
$ npx skills add Tencent/SkillHone --skill skillhone-benchmark-optimization -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Tencent/SkillHone skillhone-benchmark-optimization --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/Tencent/SkillHone.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skillhone-benchmark-optimization .claude/skills/skillhone-benchmark-optimization && 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 "skillhone-benchmark-optimization" agent skill from https://github.com/Tencent/SkillHone/tree/main/skills/skillhone-benchmark-optimization into .claude/skills/skillhone-benchmark-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skillhone-benchmark-optimization", 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/Tencent/SkillHone/tree/main/skills/skillhone-benchmark-optimizationType 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 Tencent/SkillHone --skill skillhone-benchmark-optimization -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Tencent/SkillHone skillhone-benchmark-optimization --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Tencent/SkillHone.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/skillhone-benchmark-optimization .agents/skills/skillhone-benchmark-optimization && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "skillhone-benchmark-optimization" agent skill from https://github.com/Tencent/SkillHone/tree/main/skills/skillhone-benchmark-optimization into .agents/skills/skillhone-benchmark-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skillhone-benchmark-optimization", 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 Tencent/SkillHone --skill skillhone-benchmark-optimization -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Tencent/SkillHone skillhone-benchmark-optimization --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Tencent/SkillHone.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/skillhone-benchmark-optimization .cursor/skills/skillhone-benchmark-optimization && 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 "skillhone-benchmark-optimization" agent skill from https://github.com/Tencent/SkillHone/tree/main/skills/skillhone-benchmark-optimization into .cursor/skills/skillhone-benchmark-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skillhone-benchmark-optimization", 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/Tencent/SkillHone.git --path skills/skillhone-benchmark-optimization--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 Tencent/SkillHone --skill skillhone-benchmark-optimization -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Tencent/SkillHone skillhone-benchmark-optimization --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Tencent/SkillHone.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/skillhone-benchmark-optimization .gemini/skills/skillhone-benchmark-optimization && 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 "skillhone-benchmark-optimization" agent skill from https://github.com/Tencent/SkillHone/tree/main/skills/skillhone-benchmark-optimization into .gemini/skills/skillhone-benchmark-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skillhone-benchmark-optimization", 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 Tencent/SkillHone skillhone-benchmark-optimizationInstalls 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 Tencent/SkillHone --skill skillhone-benchmark-optimization -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Tencent/SkillHone.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/skillhone-benchmark-optimization .github/skills/skillhone-benchmark-optimization && 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 "skillhone-benchmark-optimization" agent skill from https://github.com/Tencent/SkillHone/tree/main/skills/skillhone-benchmark-optimization into .github/skills/skillhone-benchmark-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skillhone-benchmark-optimization", 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 Tencent/SkillHone --skill skillhone-benchmark-optimization -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Tencent/SkillHone skillhone-benchmark-optimization --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Tencent/SkillHone.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/skillhone-benchmark-optimization .opencode/skills/skillhone-benchmark-optimization && 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 "skillhone-benchmark-optimization" agent skill from https://github.com/Tencent/SkillHone/tree/main/skills/skillhone-benchmark-optimization into .opencode/skills/skillhone-benchmark-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skillhone-benchmark-optimization", 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
skillhone-benchmark-optimization- GitHub stars
- 168
- Token cost
- ~1.5k tokens
- SKILL.md length
- 739 words
- Files
- 1
- Skills in repo
- 3
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Run the additional paper-compatible optimization workflow with a frozen benchmark repository.
- Works in 4 steps: Prepare the evaluation repository → Freeze the campaign → Measure and optimize → …
- Asks to generate
- SKILL.md covers 1. Prepare the evaluation…, 2. Freeze the campaign, 3. Measure and optimize and 4. Final measurement and review, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Skillhone Benchmark Optimization is an agent skill from Tencent/SkillHone. Run the additional paper-compatible optimization workflow with a frozen benchmark repository. Use only when the user asks to generate or reuse an eval set, establish a baseline, improve probe or PR-validation scores, compare a Skill against a benchmark, or reproduce the evaluation loop described in the SkillHone paper. Do not use for a single defect observed during normal Agent work; use skillhone-auto-optimization for the default path.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Continual agent skill evolution through persistent decision history. Whole-skill optimisation (SKILL.md + scripts + references) with every decision landing as a local Git issue /…
When your agent uses it
- Asks to generate
- Reuse an eval set
- Establish a baseline
- PR-validation scores
Example prompts
- “/skillhone-benchmark-optimization”
Requirements
- Python 3
Workflow steps
4 steps, taken from the step headings in SKILL.md.
- Prepare the evaluation repository
- Freeze the campaign
- Measure and optimize
- Final measurement and review
What it can do on your machine
Read from SKILL.md and the folder at commit c613aa9. 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 (its code samples are bash).
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
Skillhone Benchmark Optimization loads about 1.5k tokens when it runs. Until then it costs about 118 tokens; SKILL.md has 739 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 739 words (~1,517 tokens).
“Use this additional workflow when the user explicitly wants a frozen evaluation dataset to discover which Skill failure to fix next. It is not a prerequisite for proactive maintenance. It feeds another evidence source into the same Issue-driven SkillHone review…”
- name
- skillhone-benchmark-optimization
Files
Just SKILL.md in skills/skillhone-benchmark-optimization of Tencent/SkillHone.
Open the folder on GitHubat commit c613aa9
Compare with similar skills
Skillhone Benchmark Optimization 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 |
|---|---|---|---|---|---|---|
| Skillhone Benchmark Optimization this skillTencent/SkillHone | 168 | — | ~1.5k | Automated safety check: Pass | Custom licence | |
| Benchmarkaffaan-m/ECC | 274k | 3 repos | ~654 | Automated safety check: Pass | MIT | |
| Benchmarkaffaan-m/ECC | 274k | — | ~412 | Automated safety check: Pass | MIT | |
| Benchmarkaffaan-m/ECC | 274k | — | ~330 | Automated safety check: Pass | MIT | |
| Benchmarkandroidx/androidx | 6.1k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Benchmarksamchon/typia | 5.9k | — | ~1.2k | Automated safety check: Pass | MIT |
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More from Tencent/SkillHone
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Questions about Skillhone Benchmark Optimization
What does Skillhone Benchmark Optimization do?
Run the additional paper-compatible optimization workflow with a frozen benchmark repository. Skillhone Benchmark Optimization is an agent skill from Tencent/SkillHone. Run the additional paper-compatible optimization workflow with a frozen benchmark repository.
When should I use Skillhone Benchmark Optimization?
Skillhone Benchmark Optimization fits situations like: asks to generate; reuse an eval set; establish a baseline; PR-validation scores.
How do I install Skillhone Benchmark Optimization in Claude Code?
Run `npx skills add Tencent/SkillHone --skill skillhone-benchmark-optimization -a claude-code`. Or copy the skill folder (skills/skillhone-benchmark-optimization in Tencent/SkillHone) into .claude/skills/skillhone-benchmark-optimization in your project. Claude Code loads it when a task matches its description.
How do I install Skillhone Benchmark Optimization in Codex?
Run `npx skills add Tencent/SkillHone --skill skillhone-benchmark-optimization -a codex`. Or copy the skill folder (skills/skillhone-benchmark-optimization in Tencent/SkillHone) into .agents/skills/skillhone-benchmark-optimization in your project. Codex loads it when a task matches its description.
Can I use Skillhone Benchmark Optimization 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 Tencent/SkillHone --skill skillhone-benchmark-optimization -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skillhone-benchmark-optimization, .gemini/skills/skillhone-benchmark-optimization, .github/skills/skillhone-benchmark-optimization and .opencode/skills/skillhone-benchmark-optimization in your project.
What does Skillhone Benchmark Optimization need to run?
SKILL.md names no scripts, command-line tools or credentials: Skillhone Benchmark Optimization is instructions for the agent only. Our summary lists: Python 3.
Does Skillhone Benchmark Optimization 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 Skillhone Benchmark Optimization 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 Skillhone Benchmark Optimization use?
Skillhone Benchmark Optimization has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Skillhone Benchmark Optimization use?
About 1.5k tokens (SKILL.md is roughly 6.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Skillhone Benchmark Optimization?
Skills that share tags, products or a category with Skillhone Benchmark Optimization: Benchmark (affaan-m/ECC, 274k stars), Benchmark (affaan-m/ECC, 274k stars), Benchmark (affaan-m/ECC, 274k stars) and Benchmark (androidx/androidx, 6.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Skillhone Benchmark Optimization?
Tencent (a GitHub organization) maintains it in Tencent/SkillHone, which has 168 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on September 19, 2026.
Source: Tencent/SkillHone on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.