Agent skill

Job Results

Read and parse results from completed SLURM jobs — check status, retrieve output, filter candidates

Apache-2.0Auto-check passed

Install Job Results

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill job-results -a claude-code

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

GitHub CLI

$ gh skill install lamm-mit/scienceclaw job-results --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/lamm-mit/scienceclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/job-results .claude/skills/job-results && 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/

Paste into Claude Code

Install the "job-results" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/job-results into .claude/skills/job-results/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "job-results", 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

$skill-installer install https://github.com/lamm-mit/scienceclaw/tree/main/skills/job-results

Type 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.

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill job-results -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw job-results --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/job-results .agents/skills/job-results && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "job-results" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/job-results into .agents/skills/job-results/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "job-results", 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.

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill job-results -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw job-results --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/job-results .cursor/skills/job-results && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "job-results" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/job-results into .cursor/skills/job-results/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "job-results", 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

$ gemini skills install https://github.com/lamm-mit/scienceclaw.git --path skills/job-results

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill job-results -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw job-results --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/job-results .gemini/skills/job-results && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "job-results" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/job-results into .gemini/skills/job-results/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "job-results", 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.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw job-results

Installs 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).

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill job-results -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/job-results .github/skills/job-results && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "job-results" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/job-results into .github/skills/job-results/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "job-results", 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.

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill job-results -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw job-results --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/job-results .opencode/skills/job-results && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "job-results" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/job-results into .opencode/skills/job-results/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "job-results", 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: job-results
GitHub stars: 246
Token cost: ~508 tokens
SKILL.md length: 138 words
Files: 2 (incl. scripts)
Skills in repo: 86
Repo updated: Aug 21, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Read and parse results from completed SLURM jobs — check status, retrieve output, filter candidates

SKILL.md covers Scripts, Parameters and Output (JSON)
Runs Python scripts from its folder; calls python3

What it does

Job Results is an agent skill from lamm-mit/scienceclaw. Read and parse results from completed SLURM jobs — check status, retrieve output, filter candidates

Its SKILL.md is about 510 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/read_job_results.py`).

The licence is Apache-2.0.

Example prompts

“/job-results”

Requirements

Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit ab9aba1. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python3
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

Job Results loads about 508 tokens when it runs. Until then it costs about 28 tokens; SKILL.md has 138 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~28
When it runs · the whole SKILL.md, loaded when a task matches: ~508

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); the scripts in this folder are not scanned.

SKILL.md

The full file from lamm-mit/scienceclaw at commit ab9aba1, republished under its Apache-2.0 licence (© lamm-mit). 138 words, ~508 tokens.

Download SKILL.mdSave it as .claude/skills/job-results/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: job-results
description: Read and parse results from completed SLURM jobs — check status, retrieve output, filter candidates

Job Results Skill

Read results from completed SLURM jobs. Checks job status via sacct, reads output files (stdout JSON), and can filter results by criteria (e.g., thermodynamic stability, convergence).

This skill bridges the gap between job submission and subsequent analysis steps. When a screening job completes, use this skill to retrieve results and identify candidates for the next pipeline stage.

Scripts

`read_job_results.py` — Retrieve and parse job output

Check status and read results:

bash

python3 {baseDir}/scripts/read_job_results.py \
  --job-id 27018190 \
  --output-dir ./uma_screen_output \
  --format json

Filter thermodynamically stable candidates:

bash

python3 {baseDir}/scripts/read_job_results.py \
  --output-dir ./uma_screen_output \
  --filter-stable \
  --format json

Read the latest results from a directory:

bash

python3 {baseDir}/scripts/read_job_results.py \
  --output-dir ./uma_screen_output \
  --format json

Parameters

Parameter	Description
`--job-id`	SLURM job ID to check status for
`--output-dir`	Directory containing SLURM output files (slurm-*.out)
`--results-file`	Direct path to a JSON results file
`--filter-stable`	Only return candidates with formation_energy < 0 or e_above_hull < 0.1
`--filter-converged`	Only return converged calculations
`--list-cifs`	List relaxed CIF file paths for stable candidates
`--format`	`summary` \| `json`

Output (JSON)

json

{
  "status": "COMPLETED",
  "job_id": "27018190",
  "results": { ... },
  "stable_candidates": [
    {
      "label": "YH10_from_LaH10",
      "formula": "YH10",
      "formation_energy_eV_per_atom": -0.18,
      "e_above_hull_eV": 0.0,
      "relaxed_cif": "/path/to/YH10_0GPa.cif"
    }
  ],
  "stable_cif_paths": ["/path/to/YH10_0GPa.cif", ...]
}

Files

SKILL.md and 1 other file (scripts) in skills/job-results of lamm-mit/scienceclaw.

SKILL.md
scripts/read_job_results.py

Open the folder on GitHubat commit ab9aba1

Compare with similar skills

Job Results 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.

Job Results compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Job Results this skilllamm-mit/scienceclaw	246	—	~508	Automated safety check: Pass	Apache-2.0	1 mo ago
Technical Job Searchgithub/awesome-copilot	40k	—	~1.2k	Automated safety check: Pass	MIT	2 days ago
Slurm Job Script GeneratorFreedomIntelligence/OpenClaw-Medical-Skills	3.1k	1 repos	~1.3k	Automated safety check: Notes	None	2 mo ago
Job Application AssistantMadsLorentzen/ai-job-search	45k	—	~1.2k	Automated safety check: Notes	MIT	2 days ago
Job Application Managerreactive-resume/reactive-resume	44k	—	~13k	Automated safety check: Pass	MIT	yesterday
Python Background Jobswshobson/agents	40k	—	~1.8k	Automated safety check: Pass	MIT	6 days ago

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Questions about Job Results

What does Job Results do?

Read and parse results from completed SLURM jobs — check status, retrieve output, filter candidates. Job Results is an agent skill from lamm-mit/scienceclaw.

How do I install Job Results in Claude Code?

Run `npx skills add lamm-mit/scienceclaw --skill job-results -a claude-code`. Or copy the skill folder (skills/job-results in lamm-mit/scienceclaw) into .claude/skills/job-results in your project. Claude Code loads it when a task matches its description.

How do I install Job Results in Codex?

Run `npx skills add lamm-mit/scienceclaw --skill job-results -a codex`. Or copy the skill folder (skills/job-results in lamm-mit/scienceclaw) into .agents/skills/job-results in your project. Codex loads it when a task matches its description.

Can I use Job Results 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 lamm-mit/scienceclaw --skill job-results -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/job-results, .gemini/skills/job-results, .github/skills/job-results and .opencode/skills/job-results in your project.

What does Job Results need to run?

Going by SKILL.md and its folder, Job Results needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Job Results 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 Job Results 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Job Results use?

Job Results is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Job Results use?

About 508 tokens (SKILL.md is roughly 2k 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 Job Results?

Skills that share tags, products or a category with Job Results: Technical Job Search (github/awesome-copilot, 40k stars), Slurm Job Script Generator (FreedomIntelligence/OpenClaw-Medical-Skills, 3.1k stars), Job Application Assistant (MadsLorentzen/ai-job-search, 45k stars) and Job Application Manager (reactive-resume/reactive-resume, 44k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Job Results?

lamm-mit (a GitHub user) maintains it in lamm-mit/scienceclaw, which has 246 GitHub stars. The repository holds 86 skills in this directory. The repository was last updated on August 21, 2026.

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

Job Results

Install Job Results

Facts

At a glance

What it does

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Job Results Skill

Scripts

`read_job_results.py` — Retrieve and parse job output

Parameters

Output (JSON)

Files

Compare with similar skills

Similar skills

Technical Job Search

Slurm Job Script Generator

Job Application Assistant

Job Application Manager

Python Background Jobs

Steve Jobs

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Questions about Job Results

Install Job Results

Facts

At a glance

What it does

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Job Results Skill

Scripts

read_job_results.py — Retrieve and parse job output

Parameters

Output (JSON)

Files

Compare with similar skills

Similar skills

More from lamm-mit/scienceclaw

Questions about Job Results

`read_job_results.py` — Retrieve and parse job output