MemPalace Task Handoff
MemPalace/mempalace
Creates, hands off, claims, executes and closes agent tasks through the MemPalace logstream, with approval of the exact task before it is recorded.
EAP data collection workflow for prompt-driven robotic rollouts.
Install Eap Data Collection
$ npx skills add RoboClaw-Robotics/RoboClaw --skill eap-data-collection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install RoboClaw-Robotics/RoboClaw eap-data-collection --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/RoboClaw-Robotics/RoboClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/eap-data-collection .claude/skills/eap-data-collection && 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 "eap-data-collection" agent skill from https://github.com/RoboClaw-Robotics/RoboClaw/tree/main/skills/eap-data-collection into .claude/skills/eap-data-collection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eap-data-collection", 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/RoboClaw-Robotics/RoboClaw/tree/main/skills/eap-data-collectionType 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 RoboClaw-Robotics/RoboClaw --skill eap-data-collection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install RoboClaw-Robotics/RoboClaw eap-data-collection --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RoboClaw-Robotics/RoboClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/eap-data-collection .agents/skills/eap-data-collection && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "eap-data-collection" agent skill from https://github.com/RoboClaw-Robotics/RoboClaw/tree/main/skills/eap-data-collection into .agents/skills/eap-data-collection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eap-data-collection", 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 RoboClaw-Robotics/RoboClaw --skill eap-data-collection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install RoboClaw-Robotics/RoboClaw eap-data-collection --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RoboClaw-Robotics/RoboClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/eap-data-collection .cursor/skills/eap-data-collection && 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 "eap-data-collection" agent skill from https://github.com/RoboClaw-Robotics/RoboClaw/tree/main/skills/eap-data-collection into .cursor/skills/eap-data-collection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eap-data-collection", 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/RoboClaw-Robotics/RoboClaw.git --path skills/eap-data-collection--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 RoboClaw-Robotics/RoboClaw --skill eap-data-collection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install RoboClaw-Robotics/RoboClaw eap-data-collection --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RoboClaw-Robotics/RoboClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/eap-data-collection .gemini/skills/eap-data-collection && 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 "eap-data-collection" agent skill from https://github.com/RoboClaw-Robotics/RoboClaw/tree/main/skills/eap-data-collection into .gemini/skills/eap-data-collection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eap-data-collection", 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 RoboClaw-Robotics/RoboClaw eap-data-collectionInstalls 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 RoboClaw-Robotics/RoboClaw --skill eap-data-collection -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/RoboClaw-Robotics/RoboClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/eap-data-collection .github/skills/eap-data-collection && 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 "eap-data-collection" agent skill from https://github.com/RoboClaw-Robotics/RoboClaw/tree/main/skills/eap-data-collection into .github/skills/eap-data-collection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eap-data-collection", 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 RoboClaw-Robotics/RoboClaw --skill eap-data-collection -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install RoboClaw-Robotics/RoboClaw eap-data-collection --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RoboClaw-Robotics/RoboClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/eap-data-collection .opencode/skills/eap-data-collection && 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 "eap-data-collection" agent skill from https://github.com/RoboClaw-Robotics/RoboClaw/tree/main/skills/eap-data-collection into .opencode/skills/eap-data-collection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eap-data-collection", 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
eap-data-collection- GitHub stars
- 167
- Token cost
- ~1.9k tokens
- SKILL.md length
- 920 words
- Files
- 4 (incl. references)
- Skills in repo
- 3
- Repo updated
- First seen
- Licence
- None found
At a glance
EAP data collection workflow for prompt-driven robotic rollouts.
- Works in 8 steps: Safety + Preconditions → Initialize the Run → Verify the Starting State → …
- You need to collect self-resetting forward and reverse trajectory pairs
- SKILL.md covers Overview, Inputs (you must provide), Defaulting Rules and Tools Used, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Eap Data Collection is an agent skill from RoboClaw-Robotics/RoboClaw. EAP data collection workflow for prompt-driven robotic rollouts. Use this skill when you need to collect self-resetting forward and reverse trajectory pairs, keep rollout metadata and trajectory records in dataset D, and delegate each robot execution step to $monitored-subtask-execution so MCP startup, monitoring, timeout handling, stop, and reset remain centralized.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `agents/openai.yaml`, `references/data-collection-guardrails.md` and `references/eap-prompt-pairs.md`).
It sits in Agent Workflows, covering Task breakdown. It works with Model Context Protocol.
When your agent uses it
- You need to collect self-resetting forward and reverse trajectory pairs
- Keep rollout metadata and trajectory records in dataset D
- Delegate each robot execution step to $monitored-subtask-execution so MCP startup
- Timeout handling
Example prompts
- “/eap-data-collection”
Workflow steps
8 steps, taken from the step headings in SKILL.md.
- Safety + Preconditions
- Initialize the Run
- Verify the Starting State
- Execute the Forward Rollout
- Persist the Forward Trajectory
- Execute the Reverse or Recovery Rollout
- Persist the Reverse Trajectory and Round Outcome
- Decide Whether to Continue
What it can do on your machine
Read from SKILL.md and the folder at commit 5238184. 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.
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
Eap Data Collection loads about 1.9k tokens when it runs, and up to ~2.6k if it reads all its reference files. Until then it costs about 98 tokens; SKILL.md has 920 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 920 words (~1,946 tokens).
“Use one closed-loop workflow to collect self-resetting manipulation data:”
- name
- eap-data-collection
Files
SKILL.md and 3 other files (references) in skills/eap-data-collection of RoboClaw-Robotics/RoboClaw.
- SKILL.md
- agents/openai.yaml
- references/data-collection-guardrails.md
- references/eap-prompt-pairs.md
Open the folder on GitHubat commit 5238184
Compare with similar skills
Eap Data Collection 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 |
|---|---|---|---|---|---|---|
| Eap Data Collection this skillRoboClaw-Robotics/RoboClaw | 167 | — | ~1.9k | Automated safety check: Pass | None | |
| MemPalace Task HandoffMemPalace/mempalace | 59k | — | ~1.9k | Automated safety check: Pass | MIT | |
| agtx One-Shot Project Runnerfynnfluegge/agtx | 1.7k | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | |
| Agtx Task Sweepfynnfluegge/agtx | 1.7k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| OMA Multi-Agent Orchestratorfirst-fluke/oh-my-agent | 1.3k | — | ~3.1k | Automated safety check: Pass | MIT | |
| Complete SubtaskLog2n-io/Typhon | 250 | — | ~1.5k | Automated safety check: Pass | Custom licence |
Similar skills
agtx One-Shot Project Runner
fynnfluegge/agtx
Runs a whole project unattended on an agtx kanban board, decomposing the goal, starting tasks, unblocking workers and merging each result.
Agtx Task Sweep
fynnfluegge/agtx
Breaks a conversation's results into feature-level tasks and pushes them to the agtx kanban board, where each task gets its own worktree and agent session.
OMA Multi-Agent Orchestrator
first-fluke/oh-my-agent
Splits a complex feature into prioritized tasks, spawns specialist CLI subagents in parallel, tracks them through shared memory and verifies each result.
Complete Subtask
Log2n-io/Typhon
Complete a sub-issue of an umbrella issue - close it, check parent checkbox, update design doc
Adopt Project Scope Migration
jpicklyk/task-orchestrator
Migrates an existing unscoped Task Orchestrator database to the project-scoping convention in place, creating one project anchor root and re-parenting work trees under it after a mandatory dry run.
More from RoboClaw-Robotics/RoboClaw
Long Horizon Execution
RoboClaw-Robotics/RoboClaw
Long-horizon robot task execution workflow for multi-step manipulation tasks.
Monitored Subtask Execution
RoboClaw-Robotics/RoboClaw
Monitored single-subtask execution workflow. An agent skill from RoboClaw-Robotics/RoboClaw.
Related
Works with
Categories
Questions about Eap Data Collection
What does Eap Data Collection do?
EAP data collection workflow for prompt-driven robotic rollouts. Eap Data Collection is an agent skill from RoboClaw-Robotics/RoboClaw. EAP data collection workflow for prompt-driven robotic rollouts.
When should I use Eap Data Collection?
Eap Data Collection fits situations like: you need to collect self-resetting forward and reverse trajectory pairs; keep rollout metadata and trajectory records in dataset D; delegate each robot execution step to $monitored-subtask-execution so MCP startup; timeout handling.
How do I install Eap Data Collection in Claude Code?
Run `npx skills add RoboClaw-Robotics/RoboClaw --skill eap-data-collection -a claude-code`. Or copy the skill folder (skills/eap-data-collection in RoboClaw-Robotics/RoboClaw) into .claude/skills/eap-data-collection in your project. Claude Code loads it when a task matches its description.
How do I install Eap Data Collection in Codex?
Run `npx skills add RoboClaw-Robotics/RoboClaw --skill eap-data-collection -a codex`. Or copy the skill folder (skills/eap-data-collection in RoboClaw-Robotics/RoboClaw) into .agents/skills/eap-data-collection in your project. Codex loads it when a task matches its description.
Can I use Eap Data Collection 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 RoboClaw-Robotics/RoboClaw --skill eap-data-collection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/eap-data-collection, .gemini/skills/eap-data-collection, .github/skills/eap-data-collection and .opencode/skills/eap-data-collection in your project.
What does Eap Data Collection need to run?
SKILL.md names no scripts, command-line tools or credentials: Eap Data Collection is instructions for the agent only.
Does Eap Data Collection 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 Eap Data Collection 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 Eap Data Collection use?
No licence was found for Eap Data Collection or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Eap Data Collection use?
About 1.9k tokens (SKILL.md is roughly 7.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 694 tokens, read only when the agent opens those files.
What are the alternatives to Eap Data Collection?
Skills that share tags, products or a category with Eap Data Collection: MemPalace Task Handoff (MemPalace/mempalace, 59k stars), agtx One-Shot Project Runner (fynnfluegge/agtx, 1.7k stars), Agtx Task Sweep (fynnfluegge/agtx, 1.7k stars) and OMA Multi-Agent Orchestrator (first-fluke/oh-my-agent, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Eap Data Collection?
RoboClaw-Robotics (a GitHub user) maintains it in RoboClaw-Robotics/RoboClaw, which has 167 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on April 10, 2026.
Source: RoboClaw-Robotics/RoboClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.