Shape a Jev Archer range (target speed, bullseye size, shots), then verify Jev plants the slow targets and leaks the fast ones.

MITAuto-check passed

Install Archer

skills CLI
$ npx skills add autonomous-ai/openharness --skill archer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install autonomous-ai/openharness archer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
archer
GitHub stars
1.1k
Token cost
~673 tokens
SKILL.md length
363 words
Files
1
Skills in repo
100
Repo updated
First seen
Licence
MIT

At a glance

Shape a Jev Archer range (target speed, bullseye size, shots), then verify Jev plants the slow targets and leaks the fast ones.

  • SKILL.md covers The decision loop, Reading and shaping the range, Shaping tension and Verifying, plus 1 more section
  • Calls node

What it does

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.

Example prompts

  • “/archer”

What it can do on your machine

Read from SKILL.md and the folder at commit 50da5db. 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

    Shell commands in SKILL.md call:

    • node

    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

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.

Always · name and description, kept in context so the agent knows when to use it
~34
When it runs · the whole SKILL.md, loaded when a task matches
~673

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

The full file from autonomous-ai/openharness at commit 50da5db, republished under its MIT licence (© autonomous-ai). 363 words, ~673 tokens.

Download SKILL.mdSave it as .claude/skills/archer/SKILL.md (or your agent's skills folder).
name
archer
description
Shape a Jev Archer range (target speed, bullseye size, shots), then verify Jev plants the slow targets and leaks the fast ones.

Craft — Jev Archer

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.

The decision loop

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_FAST

The 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.

Reading and shaping the range

jsonc
{
  "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.
Show full SKILL.md (144 more words)Show less

Shaping tension

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?

Verifying

bash
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.

Definition of done

  • archer.json passes check.mjs.
  • Jev visibly tracks the target and plants it at a calm speed.
  • Speeding the target up (or shrinking the bullseye) visibly raises the misses — the knobs actually matter.

© 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

Files

Just SKILL.md in store/agents/jev-archer/skills/archer of autonomous-ai/openharness.

Open the folder on GitHubat commit 50da5db

Compare with similar skills

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.

Archer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Archer this skillautonomous-ai/openharness1.1k—~673Automated safety check: PassMIT
Speedsickn33/agentic-awesome-skills47k2 repos~447Automated safety check: PassMIT
Responsive Sizethedaviddias/Front-End-Checklist74k—~805Automated safety check: PassMIT
Dom Sizethedaviddias/Front-End-Checklist74k—~390Automated safety check: PassMIT
Font Sizethedaviddias/Front-End-Checklist74k—~896Automated safety check: PassMIT
Jev Socialsickn33/agentic-awesome-skills47k1 repos~3.4kAutomated safety check: PassMIT

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Questions about Archer

What does Archer do?

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.

How do I install Archer in Claude Code?

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.

How do I install Archer in Codex?

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.

Can I use Archer 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 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.

What does Archer need to run?

Going by SKILL.md and its folder, Archer needs the command-line tools its instructions call (node).

Does Archer 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 Archer 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 Archer use?

Archer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Archer use?

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.

What are the alternatives to Archer?

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.

Who maintains Archer?

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.