Agent skill

Ebench Debug

by InternRobotics in InternRobotics/EBench

Diagnose EBench evaluation failures, stalled workers, transport errors, invalid actions, and unexpectedly low scores using logs and episode artifacts.

MITAuto-check passed

Install Ebench Debug

skills CLI
$ npx skills add InternRobotics/EBench --skill ebench-debug -a claude-code

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

GitHub CLI
$ gh skill install InternRobotics/EBench ebench-debug --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/InternRobotics/EBench.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ebench-debug .claude/skills/ebench-debug && 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
ebench-debug
GitHub stars
145
Token cost
~862 tokens
SKILL.md length
410 words
Files
1
Skills in repo
5
Repo updated
First seen
Licence
MIT

At a glance

Diagnose EBench evaluation failures, stalled workers, transport errors, invalid actions, and unexpectedly low scores using logs and episode artifacts.

  • SKILL.md covers Isolate the failing layer and Inspect one episode
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ebench Debug is an agent skill from InternRobotics/EBench. Diagnose EBench evaluation failures, stalled workers, transport errors, invalid actions, and unexpectedly low scores using logs and episode artifacts.

Its SKILL.md is about 860 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: Elemental Diagnosis of Generalist Mobile Manipulation Policies. The licence is MIT.

Example prompts

  • “/ebench-debug”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 355fe56. 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

Ebench Debug loads about 862 tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 410 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~41
When it runs · the whole SKILL.md, loaded when a task matches
~862

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 InternRobotics/EBench at commit 355fe56, republished under its MIT licence (© InternRobotics). 410 words, ~862 tokens.

Download SKILL.mdSave it as .claude/skills/ebench-debug/SKILL.md (or your agent's skills folder).
name
ebench-debug
description
Diagnose EBench evaluation failures, stalled workers, transport errors, invalid actions, and unexpectedly low scores using logs and episode artifacts.

Diagnose an EBench run

Work from the EBench root. Obtain the failing command with credentials redacted, run ID, worker ID, first relevant traceback, checkpoint/config, and whether the failure occurs during loading, readiness, reset, inference, step, or result saving. Read existing logs before rerunning anything.

Isolate the failing layer

EvidenceNext useful check
Import/config/weight failureActive interpreter, installed package path, pinned submodules, baseline overlays, checkpoint files/statistics; server restart will not fix a local import.
Online task pendingQuery the existing task with gmp online ready; distinguish scheduling from failure and retain its task ID.
Authentication or route failureDistinguish platform URL from evaluation endpoint; check run ID and credential presence without printing credentials.
Reset timeoutCompare readiness, status and server logs if available. Asset loading and worker failure are hypotheses until supported. EvalClient.reset() kills/recreates its workers, so it is not a read-only probe.
Step timeout/disconnectCorrelate worker/server timestamps. Server execution may have completed; inspect progress before recovery and discard stale observations/chunks.
GPU OOMInspect model size, dtype and workers per GPU; reduce concurrency within scope before changing the model or evaluation protocol.
Implausible motion/near-zero SRInspect camera order, normalization, joint/gripper order, relative/absolute base semantics, replan horizon, and history reset before attributing failure to model capability.
Empty/missing reportLocate the actual result root, check completed episode files and writer errors; distinguish client traces from server result artifacts.

Read baselines/X-VLA/run.py for bounded recovery and third_party/genmanip-client/src/genmanip_client/eval_client.py for current reset/step/storage behavior. Do not turn every exception into an endless reconnect loop. Stop retries when the same failure persists without new evidence, and report the unresolved cause and retained artifacts.

Show full SKILL.md (146 more words)Show less

Inspect one episode

For client traces, gmp plot "$EPISODE_DIR" reads steps.jsonl and merged*.mp4, producing action/state plots and optional merged video. Inspect these against the adapter's transformations.

For server-side results, gmp visualize --project_root "$GENMANIP_ROOT" uses the project's result tree. Its optional visualize dependencies and Rerun viewer cache are separate from model inference; the pinned README calls for Python 3.11+ for that viewer path. A viewer dependency failure does not establish that inference failed.

Preserve logs, partial results, and task/seed identifiers. gmp clean deletes server evaluation results and logs; do not use it as a generic repair. Avoid resetting all workers to investigate one worker. Make the smallest justified fix and rerun only the needed verification within the requested evaluation scope.

Deliver the observed symptom, evidence-backed cause (or remaining hypotheses), changed files/settings, validation outcome, and whether interrupted/partial episodes affect reported scores. Keep policy failures separate from infrastructure failures.

© InternRobotics, 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 skills/ebench-debug of InternRobotics/EBench.

Open the folder on GitHubat commit 355fe56

Compare with similar skills

Ebench Debug 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.

Ebench Debug compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ebench Debug this skillInternRobotics/EBench145—~862Automated safety check: PassMIT
Debugging CI FailuresPostHog/posthog40k—~5.7kAutomated safety check: PassCustom licence
Debugasgeirtj/system_prompts_leaks69k—~439Automated safety check: PassCC0-1.0
Hypothesis-Driven Debuggingcode-yeongyu/oh-my-openagent70k—~3.2kAutomated safety check: PassCustom licence
Agent Introspection Debuggingaffaan-m/ECC275k2 repos~1.4kAutomated safety check: PassMIT
Openclaw Debuggingopenclaw/openclaw392k—~1.9kAutomated safety check: PassMIT

Similar skills

  • Debugging CI Failures

    PostHog/posthog

    Official

    Debugs failing GitHub Actions CI runs for PostHog PRs, commits, and branches, and answers broad CI-health questions ("is CI red?", "is master green today?", "what's broken right now?").

    40k GitHub stars~5.7k tokensUpdated today
    Testing & QAAuto-check passed
  • Debug

    asgeirtj/system_prompts_leaks

    Enable debug logging for this session and help diagnose issues

    69k GitHub stars~439 tokensUpdated today
    Auto-check passed
  • Hypothesis-Driven Debugging

    code-yeongyu/oh-my-openagent

    Runs a hypothesis-driven debugging loop for crashes, hangs and silent failures in any language, grounding every claim in runtime evidence and locking the fix with a test.

    70k GitHub stars~3.2k tokensUpdated today
    DevelopmentAuto-check passed
  • Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.

    275k GitHub starsUsed in 2 repos~1.4k tokens
    DevelopmentAuto-check passed
  • Openclaw Debugging

    openclaw/openclaw

    Debug OpenClaw model, provider, tool-surface, code-mode, streaming, and live/Crabbox behavior by choosing the right logs, probes, and proof path before changing code, including fetching stored…

    392k GitHub stars~1.9k tokensUpdated today
    DevelopmentAuto-check passed
  • Investigates a session where Superpowers went wrong, reads the transcripts on disk and produces an evidence-cited report, optionally prepared as a bug report for the maintainers.

    296k GitHub starsUsed in 3 repos~1.7k tokens
    Agent WorkflowsAuto-check passed

More from InternRobotics/EBench

  • Ebench Analyze

    InternRobotics/EBench

    Generate and interpret EBench evaluation reports, compare runs and baselines, and diagnose capability or generalization gaps with explicit data coverage and aggregation semantics.

    145 GitHub stars~1.1k tokensUpdated 13 days ago
    Auto-check passed
  • Ebench Evaluate

    InternRobotics/EBench

    Run and monitor an EBench policy evaluation against a local GenManip server or the online service, including baseline launch commands, worker allocation, and reproducible run records.

    145 GitHub stars~1.9k tokensUpdated 13 days ago
    Auto-check passed
  • Ebench Integrate Policy

    InternRobotics/EBench

    Implement or review a custom VLA policy adapter for EBench EvalClient, including observation preprocessing, action semantics, chunking, and episode resets.

    145 GitHub stars~1.3k tokensUpdated 13 days ago
    Auto-check passed
  • Ebench Setup

    InternRobotics/EBench

    Prepare or check an EBench evaluation environment for OpenPI, X-VLA, InternVLA-A1, or a custom policy.

    145 GitHub stars~1k tokensUpdated 13 days ago
    Auto-check passed

Questions about Ebench Debug

What does Ebench Debug do?

Diagnose EBench evaluation failures, stalled workers, transport errors, invalid actions, and unexpectedly low scores using logs and episode artifacts. Ebench Debug is an agent skill from InternRobotics/EBench. Diagnose EBench evaluation failures, stalled workers, transport errors, invalid actions, and unexpectedly low scores using logs and episode artifacts.

How do I install Ebench Debug in Claude Code?

Run `npx skills add InternRobotics/EBench --skill ebench-debug -a claude-code`. Or copy the skill folder (skills/ebench-debug in InternRobotics/EBench) into .claude/skills/ebench-debug in your project. Claude Code loads it when a task matches its description.

How do I install Ebench Debug in Codex?

Run `npx skills add InternRobotics/EBench --skill ebench-debug -a codex`. Or copy the skill folder (skills/ebench-debug in InternRobotics/EBench) into .agents/skills/ebench-debug in your project. Codex loads it when a task matches its description.

Can I use Ebench Debug 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 InternRobotics/EBench --skill ebench-debug -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ebench-debug, .gemini/skills/ebench-debug, .github/skills/ebench-debug and .opencode/skills/ebench-debug in your project.

What does Ebench Debug need to run?

SKILL.md names no scripts, command-line tools or credentials: Ebench Debug is instructions for the agent only. Our summary lists: Python 3.

Does Ebench Debug 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 Ebench Debug 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 Ebench Debug use?

Ebench Debug 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 Ebench Debug use?

About 862 tokens (SKILL.md is roughly 3.4k 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 Ebench Debug?

Skills that share tags, products or a category with Ebench Debug: Debugging CI Failures (PostHog/posthog, 40k stars), Debug (asgeirtj/system_prompts_leaks, 69k stars), Hypothesis-Driven Debugging (code-yeongyu/oh-my-openagent, 70k stars) and Agent Introspection Debugging (affaan-m/ECC, 275k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ebench Debug?

InternRobotics (a GitHub organization) maintains it in InternRobotics/EBench, which has 145 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on September 24, 2026.

Source: InternRobotics/EBench on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.