yrb-hes-evidence-mcp

yrb-hes-evidence-mcp is a skill for Codex from TIGERwu0118/yrb_hes_mcp. It costs 74 tokens per session (1,416 once invoked), scanned A, original, MIT.

A read-only evidence service for research on human–earth systems in the Yellow River Basin, a major river region in China. It retrieves source-linked information from papers, including entities, events, places, and time periods.

In plain words
What is it for?
Searching and comparing research evidence, checking document provenance, and retrieving structured spatial or temporal findings about the Yellow River Basin.
Why use it?
It helps answer cross-paper research questions while preserving where each piece of evidence came from.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Searching and comparing research evidence, checking document provenance, and retrieving structured spatial or temporal findings about the Yellow River Basin.

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Install with agentmods
npx agentmods add skills/tigerwu0118/yrb_hes_mcp/yrb-hes-evidence-mcp
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 TIGERwu0118/yrb_hes_mcp --skill yrb-hes-evidence-mcp
Clone the repo
git clone --depth 1 https://github.com/TIGERwu0118/yrb_hes_mcp

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 yrb-hes-evidence-mcp

README.md
[![agentmods](https://agentmods.dev/badge/skills/tigerwu0118/yrb_hes_mcp/yrb-hes-evidence-mcp/github.svg)](https://agentmods.dev/skills/tigerwu0118/yrb_hes_mcp/yrb-hes-evidence-mcp)
Your own site
<a href="https://agentmods.dev/skills/tigerwu0118/yrb_hes_mcp/yrb-hes-evidence-mcp"><img src="https://agentmods.dev/badge/skills/tigerwu0118/yrb_hes_mcp/yrb-hes-evidence-mcp/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 yrb-hes-evidence-mcp

Your own site · 80×15
<a href="https://agentmods.dev/skills/tigerwu0118/yrb_hes_mcp/yrb-hes-evidence-mcp"><img src="https://agentmods.dev/badge/skills/tigerwu0118/yrb_hes_mcp/yrb-hes-evidence-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,416 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 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 $0.00074 $0.01416
Opus 5 $0.00037 $0.00708
Sonnet 5 $0.00015 $0.00283
Haiku 4.5 $0.00007 $0.00142

Measured 11d ago against content hash 629dd26bf15d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

yrb-hes-evidence-mcp 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.

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/yrb-hes-evidence-mcp/SKILL.md · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

YRB-HES Evidence MCP

Overview

Use the MCP as a read-only evidence gateway for rag_sag.yrb3_v3. It connects metadata, abstract screening, heading/subchunk records, SAG Event/Entity associations, verified edges, embeddings-backed recall, and structured spatiotemporal evidence while preserving exact source locators.

The geospatial business layer is part of the same rag_sag.yrb3_v3 schema: entity_geocode, entity_geocode_log, entity_hydro_relation, spatial_units, the hydro_*_source tables, and their read-only summary views. The former yrb3.public copy is a frozen archive and is not an active MCP source. Table names remain unchanged after the copy. The response may retain a geocode_sidecar key for client compatibility, but it does not represent a second database connection.

Required workflow

  1. Call healthcheck first. Confirm database identity, schema, table availability, and current counts.
  2. For a research question, call search_evidence with a concise query. Apply language, publication-year, evidence-year, and exact document_ids filters when the question provides them.
  3. Use compare_evidence for cross-paper comparison. Treat each comparison row as a lead until its returned sources and locators are checked.
  4. Use get_subchunk_context to inspect local heading/subchunk context, get_document_overview for one-document status, and trace_source before quoting or making a document-level claim.
  5. Use search_entity and expand_entity to follow canonical concepts across Events and documents. Use get_spatiotemporal_evidence for explicit spatial/temporal evidence and the is_research_area gate.
  6. Use search_geocode for coordinates and verdicts of geocoded spatial entities, and get_document_geocode for all geocoded entities of one document. The search supports in_yrb (legacy envelope), in_yrb9 (nine-province administrative mask), and in_yrb_hydro (hydrological-basin point membership) as separate filters; never conflate their meanings. Treat geocodes as candidate anchoring: check verdict, score, and level before mapping claims (adopt/catalog_center/section are coordinate-bearing; out_of_basin/foreign_reference are explicit exclusions; region_no_point/non_spatial/needs_paper carry no point by design). doc_refs on each row lists the papers an entity came from. Use papercheck_brief to pull a condensed verification brief (evidence quotes, abstract sentence, optional full-text hits via include_text) when an entity's identity or location is in doubt.
  7. Report coverage, warnings, and conflicts. Preserve document_id, subchunk_id, event_id, evidence IDs, heading paths, and source hashes in working notes.

Read the full file on GitHub · 67 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. 11d ago First seen · 67 lines · 74 tokens per session scan A 629dd26bf15d

Subscribe to this mod's changes

yrb-hes-evidence-mcp is a skill published in the GitHub repository TIGERwu0118/yrb_hes_mcp (0 stars, last pushed 16d ago), licensed MIT. It adds 74 tokens to every session and 1,416 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 2026-08-31.

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