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-explore-instancegit 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-explore-instance)<a href="https://agentmods.dev/skills/gkanogiannis/gigwa-mcp/gigwa-explore-instance"><img src="https://agentmods.dev/badge/skills/gkanogiannis/gigwa-mcp/gigwa-explore-instance/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-explore-instance"><img src="https://agentmods.dev/badge/skills/gkanogiannis/gigwa-mcp/gigwa-explore-instance.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 | $0.00181 | $0.01015 |
| Opus 5.5 | $0.00072 | $0.00406 |
| Sonnet 5.5 | $0.00036 | $0.00203 |
| Haiku 4.5 | $0.00018 | $0.00102 |
Grade A, and why
gigwa-explore-instance 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gigwa explore instance
Overview
A one-shot survey of a whole Gigwa instance plus a health check: confirm you can reach it,
enumerate everything on it with the exact ids later analyses need, and flag any run that was
imported badly. Drives the gigwa-mcp MCP server's discovery and audit tools. No arguments
required.
When to use
- First contact with an unknown or inherited Gigwa server; "what's here and is any of it broken?"
- To obtain the
variantSetDbIds that every other skill (gigwa-qc-triage, gigwa-diversity-report, gigwa-region-scan) needs.
Prerequisites
- The
gigwa-mcpserver is connected. Read-only; works anonymously against the configuredGIGWA_URL(defaults to the public ICARDA instance when unset).
Step-by-step workflow
- (Optional) Point at a different server —
gigwa_connect(url, profile?, anonymous?)switches the active Gigwa instance at runtime (no restart). Credentials come from the environment (defaultGIGWA_USER/GIGWA_PASS, orGIGWA_USER_<PROFILE>/GIGWA_PASS_<PROFILE>when aprofileis named) — never from the chat. The switch is verified before it takes effect and lasts for the session. - Connectivity —
gigwa_server_info(): confirms the URL is reachable and reports the server version and the authenticated user (or anonymous). - Enumerate —
list_content(): human-readable databases → projects → runs.list_variant_sets(): every run with its exactvariantSetDbIdand variant/ call-set counts. This is where you copy ids for downstream skills.
- Health check —
audit_import_quality()with novariant_set_db_idscans the whole instance and ranks every run OK / SUSPECT / BROKEN (writesimport_quality_scan.csv). - Summarise what data is available (databases, projects, runs, sizes) and call out anything that needs attention (broken/suspect runs, empty projects).
Interpreting results
list_contentis the human view;list_variant_setsis the id-bearing view — use both.- In the audit, BROKEN runs should not be analysed until re-imported; SUSPECT runs warrant a closer QC pass (gigwa-qc-triage).
- The
catalog://toolsandgigwa://server/infoMCP resources are complementary, network-free ways to inspect capabilities and configured connection info.
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 · 71 lines · 181 tokens per session scan A 88df22ee38f2
gigwa-explore-instance is a skill published in the GitHub repository gkanogiannis/Gigwa-MCP (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 181 tokens to every session and 1,015 once invoked, about $0.0007 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-explore-instance compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| gigwa-explore-instancegkanogiannis/Gigwa-MCP | Skill | 0 | 1mo ago | Apache-2.0 | A | 181 | 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 |