Speed
sickn33/agentic-awesome-skills
Launch RSVP speed reader for text
Shape a Jev Archer range (target speed, bullseye size, shots), then verify Jev plants the slow targets and leaks the fast ones.
$ npx skills add autonomous-ai/openharness --skill archer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install autonomous-ai/openharness archer --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/autonomous-ai/openharness.git skills-src && mkdir -p .claude/skills && cp -r skills-src/store/agents/jev-archer/skills/archer .claude/skills/archer && 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 "archer" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/jev-archer/skills/archer into .claude/skills/archer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "archer", 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/autonomous-ai/openharness/tree/main/store/agents/jev-archer/skills/archerType 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 autonomous-ai/openharness --skill archer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install autonomous-ai/openharness archer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .agents/skills && cp -r skills-src/store/agents/jev-archer/skills/archer .agents/skills/archer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "archer" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/jev-archer/skills/archer into .agents/skills/archer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "archer", 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 autonomous-ai/openharness --skill archer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install autonomous-ai/openharness archer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/store/agents/jev-archer/skills/archer .cursor/skills/archer && 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 "archer" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/jev-archer/skills/archer into .cursor/skills/archer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "archer", 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/autonomous-ai/openharness.git --path store/agents/jev-archer/skills/archer--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 autonomous-ai/openharness --skill archer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install autonomous-ai/openharness archer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/store/agents/jev-archer/skills/archer .gemini/skills/archer && 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 "archer" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/jev-archer/skills/archer into .gemini/skills/archer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "archer", 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 autonomous-ai/openharness archerInstalls 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 autonomous-ai/openharness --skill archer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .github/skills && cp -r skills-src/store/agents/jev-archer/skills/archer .github/skills/archer && 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 "archer" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/jev-archer/skills/archer into .github/skills/archer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "archer", 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 autonomous-ai/openharness --skill archer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install autonomous-ai/openharness archer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/store/agents/jev-archer/skills/archer .opencode/skills/archer && 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 "archer" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/jev-archer/skills/archer into .opencode/skills/archer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "archer", 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.
archerShape a Jev Archer range (target speed, bullseye size, shots), then verify Jev plants the slow targets and leaks the fast ones.
Archer is an agent skill from autonomous-ai/openharness. Shape a Jev Archer range (target speed, bullseye size, shots), then verify Jev plants the slow targets and leaks the fast ones.
Its SKILL.md is about 670 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: The ultimate harness for coding agents and beyond. All your agents. All your machines. One command center. Start with code, then follow your curiosity and build across… The licence is MIT.
Read from SKILL.md and the folder at commit 50da5db. 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:
nodeFrom 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.
Archer loads about 673 tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 363 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); files beside SKILL.md are not scanned.
The full file from autonomous-ai/openharness at commit 50da5db, republished under its MIT licence (© autonomous-ai). 363 words, ~673 tokens.
.claude/skills/archer/SKILL.md (or your agent's skills folder).Jev Archer is a 1-D tracking game: a target slides across a line and Jev nudges the aim to track it, releasing an arrow every window. The craft is curating the target speed and the bullseye size into a range that shows a real decision loop — Jev plants the slow ones and leaks the fast ones.
Each tick the viewer gives Jev its current read: the aim x, the target x, and how many ticks until the arrow releases. Jev answers one Choice:
Which way do you nudge the aim this tick? LEFT_FAST / LEFT / HOLD / RIGHT / RIGHT_FASTThe mock reads the same lines and nudges toward the target. The physics — how far the target slides per tick and how precise the bullseye is — is what makes it hard or easy, not randomness.
{
"speed": 0.6, // target slides this many slots per tick
"bullHalf": 1.0, // half of the bullseye in slots when the arrow releases
"targetWidth": 24, // range width in slots
"shots": 16, // arrows in the session
"style": "track the target"
}speed is the honest limit. At 0.4–0.6 the target slides less than the aim corrects in one
tick, so Jev stays glued and it's nearly a clean day. Past ~1.2 the target outruns the aim each
tick, the aim trails, and the arrow releases off-center.bullHalf is the precision knob. Tight (0.4) demands the aim land within a whisker; wide
(1.5+) lets Jev string clean days together.style changes how Jev plays. "Hug the target, correct instantly" vs "read its direction and
lead the motion" produce visibly different aim behavior.A good range should have a deliberate flip: pick a speed where it's calm, and know what speed (or
what bullseye) makes Jev start to leak. Start at 0.6, then either speed the target up to 1.2+ for
a busy, miss-heavy range, or tighten the bullseye for a precise one. Report the flip: does Jev plant
a clean day at the calm setting and leak when sped up?
node "$JEV_DSH/toolchain/check.mjs"Then run the real loop and watch: a good range plants the slow and leaks the fast. A dull range never leaks; a broken one leaks even on a slow target. Report whichever extreme you see — don't hide it.
archer.json passes check.mjs.© autonomous-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in store/agents/jev-archer/skills/archer of autonomous-ai/openharness.
Open the folder on GitHubat commit 50da5db
Archer 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 |
|---|---|---|---|---|---|---|
| Archer this skillautonomous-ai/openharness | 1.1k | — | ~673 | Automated safety check: Pass | MIT | |
| Speedsickn33/agentic-awesome-skills | 47k | 2 repos | ~447 | Automated safety check: Pass | MIT | |
| Responsive Sizethedaviddias/Front-End-Checklist | 74k | — | ~805 | Automated safety check: Pass | MIT | |
| Dom Sizethedaviddias/Front-End-Checklist | 74k | — | ~390 | Automated safety check: Pass | MIT | |
| Font Sizethedaviddias/Front-End-Checklist | 74k | — | ~896 | Automated safety check: Pass | MIT | |
| Jev Socialsickn33/agentic-awesome-skills | 47k | 1 repos | ~3.4k | Automated safety check: Pass | MIT |
sickn33/agentic-awesome-skills
Launch RSVP speed reader for text
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing image assets, markup, and CDN or build transforms related to Serve images at the correct display size.
thedaviddias/Front-End-Checklist
A skill your agent uses when auditing slow page loads, heavy assets, or rendering delays related to Reduce DOM size and complexity.
thedaviddias/Front-End-Checklist
A skill your agent uses when applies to all CSS font-size declarations, particularly those using px units for body text, UI labels, and navigation.
sickn33/agentic-awesome-skills
Run read-only, browser-grounded Instagram, TikTok, or LinkedIn research through Jev routing and socai CLI, returning source-linked evidence and reports.
alsk1992/CloddsBot
Position sizing with Kelly criterion and bankroll management
autonomous-ai/openharness
Slices 3D mesh files into printer-profiled plain G-code through real slicer CLIs, with backend discovery, input inspection, dry runs and static validation.
autonomous-ai/openharness
Turns a home-automation request into standard, testable automations.yaml, run against Home Assistant Core's real triggers and verified with its own trace tool.
autonomous-ai/openharness
Turns a musical brief into LilyPond concert-pitch music, checked parts for each instrument and a playable practice pack.
autonomous-ai/openharness
Turns an STL and explicit printer and material requirements into compared OrcaSlicer plans, an editable 3MF project, checked G-code and a portable handoff.
autonomous-ai/openharness
Builds an editable DOCX report, a formula-driven XLSX workbook and a fresh LibreOffice PDF preview from one structured source file, then checks them together.
autonomous-ai/openharness
Dry-run, upload, and cautiously initiate local Bambu Lab print jobs from validated plain .gcode, using Bambu LAN FTPS/MQTT handoffs.
Shape a Jev Archer range (target speed, bullseye size, shots), then verify Jev plants the slow targets and leaks the fast ones. Archer is an agent skill from autonomous-ai/openharness. Shape a Jev Archer range (target speed, bullseye size, shots), then verify Jev plants the slow targets and leaks the fast ones.
Run `npx skills add autonomous-ai/openharness --skill archer -a claude-code`. Or copy the skill folder (store/agents/jev-archer/skills/archer in autonomous-ai/openharness) into .claude/skills/archer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add autonomous-ai/openharness --skill archer -a codex`. Or copy the skill folder (store/agents/jev-archer/skills/archer in autonomous-ai/openharness) into .agents/skills/archer 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 autonomous-ai/openharness --skill archer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/archer, .gemini/skills/archer, .github/skills/archer and .opencode/skills/archer in your project.
Going by SKILL.md and its folder, Archer needs the command-line tools its instructions call (node).
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. Review the folder before installing.
Archer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 673 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Archer: Speed (sickn33/agentic-awesome-skills, 47k stars), Responsive Size (thedaviddias/Front-End-Checklist, 74k stars), Dom Size (thedaviddias/Front-End-Checklist, 74k stars) and Font Size (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
autonomous-ai (a GitHub organization) maintains it in autonomous-ai/openharness, which has 1,149 GitHub stars. The repository holds 100 skills in this directory. The repository was last updated on October 8, 2026.
Source: autonomous-ai/openharness on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.