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.
npx skills add grburgess/mindgap --skill paper-to-mindmapgit clone --depth 1 https://github.com/grburgess/mindgapWrote 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.
[](https://agentmods.dev/skills/grburgess/mindgap/paper-to-mindmap)<a href="https://agentmods.dev/skills/grburgess/mindgap/paper-to-mindmap"><img src="https://agentmods.dev/badge/skills/grburgess/mindgap/paper-to-mindmap/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.
<a href="https://agentmods.dev/skills/grburgess/mindgap/paper-to-mindmap"><img src="https://agentmods.dev/badge/skills/grburgess/mindgap/paper-to-mindmap.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00113 | $0.01098 |
| Opus 5.5 | $0.00045 | $0.00439 |
| Sonnet 5.5 | $0.00023 | $0.00220 |
| Haiku 4.5 | $0.00011 | $0.00110 |
Grade A, and why
paper-to-mindmap 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 23d 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.
How it starts
The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
paper-to-mindmap
Capture a research paper just read into the mindmap knowledge graph: one paper
node, linked with evidence to related existing nodes. Distilled from the
earlier paper-capture loops. The full ingest protocol is
AGENTS.md (binding); the essentials are below.
When this fires
A PostToolUse hook nudges you after a paper read (arXiv / paper host / .pdf).
You may also be invoked directly with a URL or arXiv id. Either way, run the
relevance gate first — do not ingest reflexively.
Procedure
-
Relevance gate. Identify the paper (arXiv id / title / URL). Does it teach something relevant to the mindmap's domain or an existing project (ML, CV, remote sensing, property/insurance analytics, MLOps, knowledge graphs, …)? If clearly NOT, stop and report "off-domain, nothing added." Do not pollute the graph.
-
Read context first. Find existing related nodes before minting:
mindgap context "<topic>"andmindgap find "<single salient term>"(single terms are reliable; multi-wordcontextstrings often return empty).- Dedup: if a node already carries this arXiv id, enrich/upsert that node — never create a duplicate.
-
Distill the node:
type:paper;id: stable kebab-case slug (e.g.softcon-eo-pretraining).- Authors (required): lead the
bodywith an**Authors:** <full list>.line — every author, full name as given on the source, comma-separated (e.g.**Authors:** Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross Girshick.) — then a blank line, then the prose. The schema has noauthorscolumn; this body line IS the author record. body≥40 words (after the authors line): (a) what the work is/does, (b) why it relates to this graph's domain. Use exact-id[[wiki-links]]to anchors. Do not repeat author names in the prose — the**Authors:**line is the sole author record. Venue/year (e.g.CVPR 2021) may lead the prose; the arXiv id goes inurls, not the prose.urls:[{"label":"arXiv","url":"https://arxiv.org/abs/<id>","kind":"arxiv"}](use"kind":"web"for non-arXiv sources).confidence: ~0.7.created_by:skill:paper-to-mindmap.
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.
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.
- 23d ago Changed · -1 lines 5302b33a9b53
- 1mo ago Changed f3aa7b49e458
- 2mo ago Changed · +2 lines 115d485b62b0
- 2mo ago First seen · 77 lines · 113 tokens per session scan A c2bcb7af17a1
paper-to-mindmap is a skill published in the GitHub repository grburgess/mindgap (0 stars, last pushed 23d ago), licensed MIT. It adds 113 tokens to every session and 1,098 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-08-31.
paper-to-mindmap compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| paper-to-mindmapgrburgess/mindgap | Skill | 0 | 23d ago | MIT | A | 113 | Claude Code |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 205 | Claude Code |