analytical-grounding

analytical-grounding is a skill for Claude Code, Codex from exon-research/genomi. It costs 26 tokens per session (1,041 once invoked), scanned A, original, Apache-2.0.

Ein Recherchewerkzeug für Genomdaten: Es ruft bekannte Gene aus Signalwegen, Zelltyp-Marker und Merkmale in bestimmten DNA-Abschnitten aus festgelegten Quellen ab.

In plain words
What is it for?
Für das Nachschlagen von Genen in Reactome-, KEGG- oder MSigDB-Signalwegen, Markergenen für Zelltypen sowie Überschneidungen mit GENCODE- und ENCODE-Annotationen auf GRCh37 oder GRCh38.
Why use it?
Es verhindert, dass fehlende Daten oder ein unklarer Genomstand durch Vermutungen ersetzt werden. So bleiben Analyse-Aussagen auf überprüfbare Quellen begrenzt.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Für das Nachschlagen von Genen in Reactome-, KEGG- oder MSigDB-Signalwegen, Markergenen für Zelltypen sowie Überschneidungen mit GENCODE- und ENCODE-Annotationen auf GRCh37 oder GRCh38.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/exon-research/genomi/analytical-grounding
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 exon-research/genomi --skill analytical-grounding
Clone the repo
git clone --depth 1 https://github.com/exon-research/genomi

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 analytical-grounding

README.md
[![agentmods](https://agentmods.dev/badge/skills/exon-research/genomi/analytical-grounding/github.svg)](https://agentmods.dev/skills/exon-research/genomi/analytical-grounding)
Your own site
<a href="https://agentmods.dev/skills/exon-research/genomi/analytical-grounding"><img src="https://agentmods.dev/badge/skills/exon-research/genomi/analytical-grounding/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 analytical-grounding

Your own site · 80×15
<a href="https://agentmods.dev/skills/exon-research/genomi/analytical-grounding"><img src="https://agentmods.dev/badge/skills/exon-research/genomi/analytical-grounding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,041 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 16
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
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 $0.00026 $0.01041
Opus 5 $0.00013 $0.00521
Sonnet 5 $0.00005 $0.00208
Haiku 4.5 $0.00003 $0.00104

Measured 10d ago against content hash afdda0e9f962, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

analytical-grounding 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 10d 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/analytical-grounding/SKILL.md · 101 lines

How it starts

The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Analytical Grounding

Use this skill for source-declared records that ground an analytical statement, without asking Genomi to choose the interpretation.

Use When

  • The input is a controlled pathway or gene-set name/id and the agent needs its canonical member genes.
  • The input is a controlled cell type and the agent needs marker-gene records.
  • The input is a genomic interval and the agent needs overlaps against declared GENCODE or ENCODE annotation files.

Operations

  • pathway.retrieve_members: retrieve Reactome, KEGG human pathway, or supplied or installed MSigDB Hallmark GMT member genes. Use a source for free-text pathway names unless the identifier prefix makes the source clear.
  • cell_type.retrieve_markers: retrieve HPA single-cell marker records, installed CellMarker/PanglaoDB tables, or supplied marker tables.
  • region.retrieve_features: retrieve interval overlaps from supplied or installed GENCODE GTF and/or ENCODE cCRE BED files for GRCh37/GRCh38. Supply assembly; without it the tool reports unsupported assembly instead of guessing a genome build.

Boundaries

  • These are retrieval verbs over declared source coverage.
  • Do not use them as experimental protocol recommendations, workflow templates, or free-text biological interpretation.
  • Treat coverage_status literally:
    • data_returned: declared source records were returned.
    • in_scope_empty: the input was in declared scope, and no records matched.
    • out_of_scope_for_input: the source, assembly, identifier, or required source file is outside declared coverage.
  • Preserve source priors. A pathway member, marker gene, interval overlap, or druggable-target membership row is evidence context, not a selected answer.

Examples

  • pathway.retrieve_members with {"pathway_id_or_name":"R-HSA-70635"}
  • pathway.retrieve_members with {"pathway_id_or_name":"hsa00010"}
  • cell_type.retrieve_markers with {"cell_type_id_or_name":"hepatocytes","source":"hpa"}
  • cell_type.retrieve_markers with {"cell_type_id_or_name":"Hepatocyte","source":"cellmarker"}
  • region.retrieve_features with {"region":"1:1000-1250","assembly":"GRCh38"}

Read the full file on GitHub · 101 lines

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. 10d ago First seen · 101 lines · 26 tokens per session scan A afdda0e9f962

Subscribe to this mod's changes

analytical-grounding is a skill published in the GitHub repository exon-research/genomi (482 stars, last pushed 9d ago), licensed Apache-2.0. It adds 26 tokens to every session and 1,041 once invoked, about $0.0001 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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