SciCrucible: Skill for Claude Code

.claude/skills/forge-discovery/SKILL.md

forge-discovery is a skill for Claude Code from Xinyang-Li666/SciCrucible. It costs 66 tokens per session (1,788 once invoked), scanned A, original, GPL-3.0.

A literature-discovery workflow for finding new research papers through SciMaster, removing duplicates, letting you choose results, downloading them, and adding them to a knowledge base. A literature review is the process of collecting and studying published research on a topic.

In plain words
What is it for?
Use it when looking for research on a topic, checking recent studies, or adding chosen papers to your research library.
Why use it?
It reduces the manual work of searching for papers, checking repeated results, downloading selected papers, and organising them.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is Xinyang-Li666/SciCrucible's own configuration. It tells Claude Code how to work on SciCrucible itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything SciCrucible configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Xinyang-Li666/SciCrucible. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Xinyang-Li666/SciCrucible/main/.claude/skills/forge-discovery/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Xinyang-Li666/SciCrucible

Made for: Claude Code.

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 forge-discovery

README.md
[![agentmods](https://agentmods.dev/badge/skills/xinyang-li666/scicrucible/forge-discovery/github.svg)](https://agentmods.dev/skills/xinyang-li666/scicrucible/forge-discovery)
Your own site
<a href="https://agentmods.dev/skills/xinyang-li666/scicrucible/forge-discovery"><img src="https://agentmods.dev/badge/skills/xinyang-li666/scicrucible/forge-discovery/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 forge-discovery

Your own site · 80×15
<a href="https://agentmods.dev/skills/xinyang-li666/scicrucible/forge-discovery"><img src="https://agentmods.dev/badge/skills/xinyang-li666/scicrucible/forge-discovery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,788 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.
Origin unknown 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 $0.00066 $0.01788
Opus 5 $0.00033 $0.00894
Sonnet 5 $0.00013 $0.00358
Haiku 4.5 $0.00007 $0.00179

Measured 11d ago against content hash 5e7d5a9fcb60, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

forge-discovery 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 11d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/dedup.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.claude/skills/forge-discovery/SKILL.md · 191 lines

The source is not reproduced here

Licensed GPL-3.0

The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Files

What ships with it

3 files 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. 11d ago First seen · 191 lines · 66 tokens per session scan A 5e7d5a9fcb60

Subscribe to this mod's changes

forge-discovery is a skill published in the GitHub repository Xinyang-Li666/SciCrucible (12 stars, last pushed 1mo ago), licensed GPL-3.0. It adds 66 tokens to every session and 1,788 once invoked, about $0.0003 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.

Related

Other skills, from other repositories

academic-paper

12-agent academic paper writing pipeline. 11 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure/rebuttal-audit). 6 paper types, 5 citation formats, bilingual abstracts, LaTeX/DOCX-via-Pandoc/PDF output. Style Calibration + Writing Quality Check + Anti-Patterns…

Imbad0202/academic-research-skills · 184 tokens

academic-pipeline

Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 10-stage workflow with mandatory, coverage-bounded…

Imbad0202/academic-research-skills · 137 tokens

academic-paper-reviewer

Multi-perspective academic paper review with dynamic reviewer personas. Runs a 5-seat, role-separated review panel (Journal-Fit Reviewer + 3 peer-review roles + Devil's Advocate) with field-specific expertise; role separation is not a claim of independent error processes. Supports full review, re-review…

Imbad0202/academic-research-skills · 205 tokens

deep-research

Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 8 modes: full research, quick brief, paper review, lit-review, fact-check, three-way literature scan, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question…

Imbad0202/academic-research-skills · 291 tokens

academic-research-suite

ARS-Codex workflows for research, academic writing, manuscript review, research-to-paper pipelines, and experiment planning. Use when the user asks for deep research, literature review, systematic review, meta-analysis, research question refinement, academic paper drafting, paper revision, citation or integrity…

Imbad0202/academic-research-skills-codex · 242 tokens

idea-bib-review

A writing workflow for drafting a literature review from a research idea and BibTeX files, which are structured records of academic sources. It preserves citation keys and checks whether claims are supported by the supplied evidence.

bahayonghang/my-ai-cli-toolkit · 126 tokens