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 jaechang-hits/SciAgent-Skills --skill remap-databasegit clone --depth 1 https://github.com/jaechang-hits/SciAgent-SkillsWrote 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/jaechang-hits/sciagent-skills/remap-database)<a href="https://agentmods.dev/skills/jaechang-hits/sciagent-skills/remap-database"><img src="https://agentmods.dev/badge/skills/jaechang-hits/sciagent-skills/remap-database/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/jaechang-hits/sciagent-skills/remap-database"><img src="https://agentmods.dev/badge/skills/jaechang-hits/sciagent-skills/remap-database.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 | $0.00101 | $0.08112 |
| Opus 5 | $0.00051 | $0.04056 |
| Sonnet 5 | $0.00020 | $0.01622 |
| Haiku 4.5 | $0.00010 | $0.00811 |
Grade A, and why
remap-database scanned grade A with 1 finding 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 6d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
r = requests.get(f"{REMAP_API}/peaks/overlap/", params={ The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 6d ago First seen · 702 lines · 101 tokens per session scan A aa6884b523e7
remap-database is a skill published in the GitHub repository jaechang-hits/SciAgent-Skills (361 stars, last pushed 11d ago), with no licence file. It adds 101 tokens to every session and 8,112 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
patsnap-solution-engine
Patsnap TRIZ Concept Solution Engine MCP for AI agents. Generates innovation or product cost-reduction concepts through asynchronous TRIZ and TRIZ/DFMA workflows. Use for engineering problem solving, concept alternatives, cost-reduction analysis, task-progress retrieval, and selected-solution details.
patsnap-biological-modality
Biological sequence and modality intelligence via Patsnap MCP.
patsnap-chemical-molecular
Patsnap Chemical Molecular MCP for AI agents. Search 160M+ chemical structures, synthetic routes, and bioactivity data via specialized chemistry tools.
patsnap-clinical-trials
Patsnap Clinical Trials MCP for AI agents. Intelligent clinical trial retrieval system, covering registered trial tracking, trial details and results analysis, and supporting clinical semantic search.
patsnap-drug-asset
Patsnap Drug & Asset MCP for AI agents. Drug and asset intelligence retrieval platform, covering drug search, drug details analysis, and development milestone tracking.
patsnap-regulatory-guidelines
Patsnap Regulatory & Guidelines MCP for AI agents. Evidence query tool for regulatory policies and clinical norms, covering semantic evidence retrieval for clinical guidelines and FDA drug labels.