Jev Social
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.
Shape a Jev Catcher session (fall time, glove reach, field width), then verify Jev catches the slow pop flies and drops the fast ones.
MITAuto-check passed
Install Catcher
$ npx skills add autonomous-ai/openharness --skill catcher -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install autonomous-ai/openharness catcher --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-catcher/skills/catcher .claude/skills/catcher && 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 "catcher" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/jev-catcher/skills/catcher into .claude/skills/catcher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "catcher", 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-catcher/skills/catcherType 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 catcher -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install autonomous-ai/openharness catcher --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-catcher/skills/catcher .agents/skills/catcher && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "catcher" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/jev-catcher/skills/catcher into .agents/skills/catcher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "catcher", 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 catcher -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install autonomous-ai/openharness catcher --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-catcher/skills/catcher .cursor/skills/catcher && 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 "catcher" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/jev-catcher/skills/catcher into .cursor/skills/catcher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "catcher", 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-catcher/skills/catcher--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 catcher -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install autonomous-ai/openharness catcher --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-catcher/skills/catcher .gemini/skills/catcher && 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 "catcher" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/jev-catcher/skills/catcher into .gemini/skills/catcher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "catcher", 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 catcherInstalls 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 catcher -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-catcher/skills/catcher .github/skills/catcher && 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 "catcher" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/jev-catcher/skills/catcher into .github/skills/catcher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "catcher", 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 catcher -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 catcher --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-catcher/skills/catcher .opencode/skills/catcher && 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 "catcher" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/jev-catcher/skills/catcher into .opencode/skills/catcher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "catcher", 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
catcher- GitHub stars
- 1.2k
- Token cost
- ~836 tokens
- SKILL.md length
- 525 words
- Files
- 1
- Skills in repo
- 99
- Repo updated
- First seen
- Licence
- MIT
At a glance
Shape a Jev Catcher session (fall time, glove reach, field width), then verify Jev catches the slow pop flies and drops the fast ones.
- SKILL.md covers Craft, Rules and Definition of done
- Calls node
What it does
Catcher is an agent skill from autonomous-ai/openharness. Shape a Jev Catcher session (fall time, glove reach, field width), then verify Jev catches the slow pop flies and drops the fast ones.
Its SKILL.md is about 840 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
- “/catcher”
What it can do on your machine
Read from SKILL.md and the folder at commit 74c2733. 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
Catcher loads about 836 tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 525 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
The full file from autonomous-ai/openharness at commit 74c2733, republished under its MIT licence (© autonomous-ai). 525 words, ~836 tokens.
Download SKILL.mdSave it as
.claude/skills/catcher/SKILL.md (or your agent's skills folder).- name
- catcher
- description
- Shape a Jev Catcher session (fall time, glove reach, field width), then verify Jev catches the slow pop flies and drops the fast ones.
Catching the field
The skill for building catcher.json pieces. On the left, Jev is the fielder guarding the outfield:
balls pop up at random spots and fall, and every tick Jev reads the glove's position and the next
ball's landing spot and slides the glove to catch it. A catch needs the glove under the ball when it
lands within reach of the landing spot; otherwise the ball drops.
The difficulty falls to two dials:
fallTicks— how many ticks a ball takes to come down. This is the main dial. Fewer ticks means the ball drops faster, leaving Jev less time to cross the field — so at lowfallTicksJev physically can't get there in time and the drops pile up.gloveReach— how close the glove must be to the landing spot to make the catch (the reach radius). Tighter reach means Jev has to be precise, not just near.
Crank fallTicks down (or shrink gloveReach) and Jev's glove can't keep up and it leaks balls;
the honest physical slew limit is the difficulty, not random noise. This is the general recipe for
this harness: make the ball fall too fast to chase, and Jev's misses read as Jev's limit.
Craft
- Curate a catching mood. Default
fallTicks~10(reach1.6) is crisp and frequently clean. DropfallTicksto7and Jev leaks; to5or below it's a rain of drops. RaisefallTicksto13+for a leisurely, near-perfect session. - Tension by reach. A tight
gloveReach(0.5, say) makes Jev read the landing spot exactly — it starts to miss when the ball comes in hot. A wide one is forgiving. - Write a distinct style line. "Read the sound off the bat and burst to the spot" plays very differently from "glide, don't sprint — always keep some glide in reserve." Jev will visibly field differently.
Do NOT just ship the template. Every catcher.json you publish should be its own session with a
deliberate, testable difficulty.
Validate with node "$JEV_DSH/toolchain/check.mjs". The real test is the fielding: does Jev catch
the full session at a calm fall, and leak when you speed the falls up — or does it never leak (dull)
or leak even on a slow pop (bad)? Either extreme is a finding to report, not a bug to mask.
Show full SKILL.md (147 more words)Show less
Rules
- Keep
catcher.jsonvalid JSON always. A bad edit freezes the session on the last good state. You can changefallTicks/gloveReach/fieldWidth/ballslive — the viewer rebuilds the field for the new profile. - Keep
title,descriptionandstyletruthful — and never present this as real baseball, real stats, or real coaching. - The catcher viewer writes
.harness/verdict.jsonitself (caught, dropped, whether the session was clean). Do not edit it. - This is a demo. The field, the pop flies and the timing are made up — never present this as a real game or real fielding advice.
Definition of done
- A valid
catcher.jsonthat parses and passestoolchain/check.mjs. - A real fielding loop: Jev reads the landing spot, slides to it, catches the slow ones, and leaks them once the falls are too fast.
- The fall and reach actually shape the session — report it if Jev never drops, or drops no matter what.
© 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-catcher/skills/catcher of autonomous-ai/openharness.
Open the folder on GitHubat commit 74c2733
Compare with similar skills
Catcher 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 |
|---|---|---|---|---|---|---|
| Catcher this skillautonomous-ai/openharness | 1.2k | — | ~836 | Automated safety check: Pass | MIT | |
| Jev Socialsickn33/agentic-awesome-skills | 47k | 1 repos | ~3.4k | Automated safety check: Pass | MIT | |
| Jev Usesickn33/agentic-awesome-skills | 47k | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Agent ReachPanniantong/Agent-Reach | 94k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Add Shape Inferenceonnx/onnx | 22k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Jev Memorysuperdesigndev/treg | 4.9k | — | ~1.7k | Automated safety check: Pass | Custom licence |
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Questions about Catcher
What does Catcher do?
Shape a Jev Catcher session (fall time, glove reach, field width), then verify Jev catches the slow pop flies and drops the fast ones. Catcher is an agent skill from autonomous-ai/openharness. Shape a Jev Catcher session (fall time, glove reach, field width), then verify Jev catches the slow pop flies and drops the fast ones.
How do I install Catcher in Claude Code?
Run `npx skills add autonomous-ai/openharness --skill catcher -a claude-code`. Or copy the skill folder (store/agents/jev-catcher/skills/catcher in autonomous-ai/openharness) into .claude/skills/catcher in your project. Claude Code loads it when a task matches its description.
How do I install Catcher in Codex?
Run `npx skills add autonomous-ai/openharness --skill catcher -a codex`. Or copy the skill folder (store/agents/jev-catcher/skills/catcher in autonomous-ai/openharness) into .agents/skills/catcher in your project. Codex loads it when a task matches its description.
Can I use Catcher 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 catcher -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/catcher, .gemini/skills/catcher, .github/skills/catcher and .opencode/skills/catcher in your project.
What does Catcher need to run?
Going by SKILL.md and its folder, Catcher needs the command-line tools its instructions call (node).
Does Catcher 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 Catcher 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 Catcher use?
Catcher 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 Catcher use?
About 836 tokens (SKILL.md is roughly 3.3k 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 Catcher?
Skills that share tags, products or a category with Catcher: Jev Social (sickn33/agentic-awesome-skills, 47k stars), Jev Use (sickn33/agentic-awesome-skills, 47k stars), Agent Reach (Panniantong/Agent-Reach, 94k stars) and Add Shape Inference (onnx/onnx, 22k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Catcher?
autonomous-ai (a GitHub organization) maintains it in autonomous-ai/openharness, which has 1,194 GitHub stars. The repository holds 99 skills in this directory. The repository was last updated on October 9, 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.