bear-trace

bear-trace is a skill for Claude Code, Codex from xuzhougeng/wisp-science. It costs 265 tokens per session (1,727 once invoked), scanned A, original, AGPL-3.0.

A research-history review that traces a topic or seed paper back to its earlier sources and forward to newer developments.

In plain words
What is it for?
Use it to learn where a research problem came from, how it developed, and which earlier work a paper builds on.
Why use it?
It helps when a field is unfamiliar or its history is scattered across many papers.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to learn where a research problem came from, how it developed, and which earlier work a paper builds on.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/xuzhougeng/wisp-science/bear-trace
About the project

xuzhougeng/wisp-science is a local-first desktop workbench for scientific research that combines AI assistants with Python and R computing, literature search, scientific databases, and remote runtimes. Researchers use it to run analyses, manage project artifacts, and preserve evidence and decisions on their own machines. Its catalogue skills and instruction extend the workbench’s reusable agent workflows.

xuzhougeng/wisp-science · 1,114 stars · on GitHub · wispscience.com

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 xuzhougeng/wisp-science --skill bear-trace
Clone the repo
git clone --depth 1 https://github.com/xuzhougeng/wisp-science

Made for: Claude Code, 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 bear-trace

README.md
[![agentmods](https://agentmods.dev/badge/skills/xuzhougeng/wisp-science/bear-trace.svg)](https://agentmods.dev/skills/xuzhougeng/wisp-science/bear-trace)
Your own site
<a href="https://agentmods.dev/skills/xuzhougeng/wisp-science/bear-trace"><img src="https://agentmods.dev/badge/skills/xuzhougeng/wisp-science/bear-trace.svg" alt="Measured on agentmods" height="20"></a>
Per session 265 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,727 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 pass 7 Sept 2026
How audits are shown
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 $0.00265 $0.01727
Opus 5 $0.00133 $0.00864
Sonnet 5 $0.00053 $0.00345
Haiku 4.5 $0.00026 $0.00173

Measured 9d ago against content hash c6a4249e565c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

bear-trace 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 9d 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.

skills/bear-trace/SKILL.md · 108 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-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

2 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. 9d ago First seen · 108 lines · 265 tokens per session scan A c6a4249e565c

Subscribe to this mod's changes

bear-trace is a skill published in the GitHub repository xuzhougeng/wisp-science (1,114 stars, last pushed today), licensed AGPL-3.0. It adds 265 tokens to every session and 1,727 once invoked, about $0.0013 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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