sciatlas-idea-grounding

sciatlas-idea-grounding is a skill for Codex from zjunlp/SciAtlas. It costs 77 tokens per session (1,078 once invoked), scanned A, original, MIT.

A guided workflow for comparing a research idea with prior academic work through SciAtlas, a tool for searching and connecting research papers. It retrieves relevant papers and produces a grounded positioning memo.

In plain words
What is it for?
Use it to find similar research, gather evidence for how an idea is distinct, and prepare a prior-art or related-work assessment.
Why use it?
It helps show what has already been studied and where an idea may differ, without relying on unsupported claims about novelty.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to find similar research, gather evidence for how an idea is distinct, and prepare a prior-art or related-work assessment.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zjunlp/sciatlas/sciatlas-idea-grounding
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add zjunlp/SciAtlas --skill sciatlas-idea-grounding
Clone the repo
git clone --depth 1 https://github.com/zjunlp/SciAtlas

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for sciatlas-idea-grounding

README.md
[![agentmods](https://agentmods.dev/badge/skills/zjunlp/sciatlas/sciatlas-idea-grounding/github.svg)](https://agentmods.dev/skills/zjunlp/sciatlas/sciatlas-idea-grounding)
Your own site
<a href="https://agentmods.dev/skills/zjunlp/sciatlas/sciatlas-idea-grounding"><img src="https://agentmods.dev/badge/skills/zjunlp/sciatlas/sciatlas-idea-grounding/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for sciatlas-idea-grounding

Your own site · 80×15
<a href="https://agentmods.dev/skills/zjunlp/sciatlas/sciatlas-idea-grounding"><img src="https://agentmods.dev/badge/skills/zjunlp/sciatlas/sciatlas-idea-grounding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,078 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 15
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00077 $0.01078
Opus 5 $0.00039 $0.00539
Sonnet 5 $0.00015 $0.00216
Haiku 4.5 $0.00008 $0.00108

Measured 10d ago against content hash dec52ebd1a01, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

sciatlas-idea-grounding scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agent-skill/sciatlas-idea-grounding/SKILL.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SciAtlas Idea Grounding

Use this skill to position a research idea against prior work using only sciatlas search-papers.

Operating Contract

  • Do not call any SciAtlas downstream command. The only SciAtlas retrieval command allowed is search-papers.
  • Own the end-to-end novice flow: install or locate the CLI, guide registration, configure environment variables, run retrieval, inspect artifacts, and produce a grounded positioning memo.
  • Ask the user only for human-only setup values: email, verification code, token, or one concise clarification about the idea.
  • Do not ask the user to run shell commands when tool access is available.
  • Do not reveal the full API token in final output.

Zero-Start Bootstrap

  1. Check whether the sciatlas executable exists without invoking a SciAtlas command: use Get-Command sciatlas -ErrorAction SilentlyContinue on Windows PowerShell or command -v sciatlas on macOS/Linux. If missing, install with python -m pip install -e ./sciatlas in this repo or python -m pip install "git+https://github.com/zjunlp/SciAtlas.git#subdirectory=sciatlas".
  2. If SCIATLAS_API_KEY is absent, guide the user to http://sciatlas.openkg.cn/register.
  3. Ask for the email verification code only when needed. Ask for the returned sciatlas_xxx token after registration.
  4. Configure:
$env:SCIATLAS_API_BASE_URL = "http://sciatlas.openkg.cn"
$env:SCIATLAS_API_KEY = "<token>"
setx SCIATLAS_API_BASE_URL "http://sciatlas.openkg.cn"
setx SCIATLAS_API_KEY "<token>"
export SCIATLAS_API_BASE_URL="http://sciatlas.openkg.cn"
export SCIATLAS_API_KEY="<token>"
  1. If token validity is uncertain, test with a one-result search-papers query, not health or config.

Idea Parsing

Before searching, decompose the idea into:

  • Problem: what pain or research question it attacks.
  • Proposed mechanism: the technical novelty the user claims.
  • Target domain: where it applies.
  • Evaluation target: what would prove it works.
  • Neighboring literatures: 2-4 adjacent concepts.

Read the full file on GitHub · 95 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 95 lines · 77 tokens per session scan A dec52ebd1a01

Subscribe to this mod's changes

sciatlas-idea-grounding is a skill published in the GitHub repository zjunlp/SciAtlas (146 stars, last pushed 1mo ago), licensed MIT. It adds 77 tokens to every session and 1,078 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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