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 gkanogiannis/Gigwa-MCP --skill gigwa-diversity-reportgit clone --depth 1 https://github.com/gkanogiannis/Gigwa-MCPWrote 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/gkanogiannis/gigwa-mcp/gigwa-diversity-report)<a href="https://agentmods.dev/skills/gkanogiannis/gigwa-mcp/gigwa-diversity-report"><img src="https://agentmods.dev/badge/skills/gkanogiannis/gigwa-mcp/gigwa-diversity-report/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/gkanogiannis/gigwa-mcp/gigwa-diversity-report"><img src="https://agentmods.dev/badge/skills/gkanogiannis/gigwa-mcp/gigwa-diversity-report.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 | $0.00204 | $0.01339 |
| Opus 5.5 | $0.00082 | $0.00536 |
| Sonnet 5.5 | $0.00041 | $0.00268 |
| Haiku 4.5 | $0.00020 | $0.00134 |
Grade A, and why
gigwa-diversity-report 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 2mo 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gigwa diversity report
Overview
Characterise a variant set's genetic diversity, population structure and relatedness in one
coherent report: dataset-wide summary statistics, PCA, structure clustering, a kinship
matrix, a phylogenetic tree, and — when groups are defined — per-group diversity and Fst.
All steps drive the gigwa-mcp MCP server's read-only diversity_* tools.
When to use
- After QC passes for a run (see gigwa-qc-triage), when the user wants the biology: how diverse, how structured, how related.
- You need a
variant_set_db_id(MODULE§project§run) — get it fromlist_variant_sets()(or the gigwa-explore-instance skill).
Prerequisites and grouping
- The
gigwa-mcpserver is connected; read-only, so anonymous access is fine. - Grouping is optional. To get per-group diversity and Fst, define groups one of two
ways:
- a metadata TSV plus a
group_column(rows keyed byid_column, defaultindividual), or - an explicit
groups_jsonmapping (accepted bydiversity_fst/diversity_by_group).
- a metadata TSV plus a
- No groups → run the ungrouped core (steps 1–4) only.
Step-by-step workflow
- Dataset summary —
diversity_summary(variant_set_db_id): per-marker MAF, He, Ho, PIC and dataset means. This is the baseline everything else is read against. - Structure —
diversity_pca(variant_set_db_id, n_components=10): variance explained + PC coordinates (pca_coords.csv). Passmetadata_tsv+group_columnto colour/label PCs by group.diversity_structure(variant_set_db_id, k_min=2, k_max=10): PCA + K-means clustering with a suggested K.
- Relatedness —
diversity_kinship(variant_set_db_id, top_pairs=15): VanRaden genomic relationship matrix; report the closest pairs (possible clones/close relatives). - Tree —
diversity_tree(variant_set_db_id, max_markers=5000): UPGMA dendrogram from IBS distance (tree.nwk). - Grouped (only if groups defined) —
diversity_by_group(variant_set_db_id, metadata_tsv=…, group_column=…): per-population He/Ho/Fis/MAF and allelic richness.diversity_fst(variant_set_db_id, metadata_tsv=…, group_column=…): pairwise Weir and Cockerham Fst between groups.
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.
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.
- 2mo ago First seen · 93 lines · 204 tokens per session scan A e1cd2a29703d
gigwa-diversity-report is a skill published in the GitHub repository gkanogiannis/Gigwa-MCP (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 204 tokens to every session and 1,339 once invoked, about $0.0008 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.
gigwa-diversity-report compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| gigwa-diversity-reportgkanogiannis/Gigwa-MCP | Skill | 0 | 1mo ago | Apache-2.0 | A | 204 | Claude Code, Codex |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | yesterday | Apache-2.0 | A | 123 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 6d ago | MIT | A | 44 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 6d ago | MIT | A | 83 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 6d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | today | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | today | Apache-2.0 | A | 205 | Claude Code |