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 alexsvdk/gigaplexity-mcp --skill gigaplexity-research-verificationgit clone --depth 1 https://github.com/alexsvdk/gigaplexity-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/alexsvdk/gigaplexity-mcp/gigaplexity-research-verification)<a href="https://agentmods.dev/skills/alexsvdk/gigaplexity-mcp/gigaplexity-research-verification"><img src="https://agentmods.dev/badge/skills/alexsvdk/gigaplexity-mcp/gigaplexity-research-verification/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/alexsvdk/gigaplexity-mcp/gigaplexity-research-verification"><img src="https://agentmods.dev/badge/skills/alexsvdk/gigaplexity-mcp/gigaplexity-research-verification.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 | $0.00051 | $0.00970 |
| Opus 5 | $0.00026 | $0.00485 |
| Sonnet 5 | $0.00010 | $0.00194 |
| Haiku 4.5 | $0.00005 | $0.00097 |
Grade A, and why
gigaplexity-research-verification 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 12d 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gigaplexity Research & Verification Skill
Purpose
Use this skill to produce trustworthy, citation-backed, decision-ready answers. This skill is optimized for external information research, verification, and synthesis with clear uncertainty handling.
MUST Use When
Use this skill by default when at least one condition is true:
- User asks for research, analysis, comparison, fact-checking, or market/tech landscape.
- Request depends on current or external information not guaranteed to be in workspace.
- Output will influence a decision (product, architecture, hiring, vendor, strategy).
- User explicitly asks for sources, citations, or “проверь информацию”.
- There is a risk of hallucination or high cost of being wrong.
Do NOT Use As Primary Workflow When
- Task is pure local refactoring/debugging with no external facts.
- User asks for simple brainstorming with no requirement for factual accuracy.
Tooling Strategy (Gigaplexity-first)
- Start with
#tool:gigaplexity/askfor fast orientation. - Use
#tool:gigaplexity/researchfor multi-step deep coverage. - Use
#tool:gigaplexity/reasonto resolve contradictions and edge cases. - If evidence is thin or conflicting, expand with web tools.
Research Quality Protocol
1) Scope & Success Criteria
- Restate objective, audience, and decision context.
- Define “done”: what exactly must be answered.
- Capture constraints: timeline, geography, industry, versions, budget/risk.
2) Evidence Collection
- Gather sources from multiple independent domains.
- Prefer primary/original sources (official docs, standards, papers, filings, vendor docs).
- Use secondary sources only to complement, never as single point of truth.
3) Verification & Triangulation
- Validate each key claim with at least 2 independent sources when possible.
- Mark unresolved conflicts explicitly and explain why.
- Separate facts from interpretation.
4) Source Quality Scoring (required for important claims)
For each critical claim, quickly score source quality:
- Authority (official/recognized?)
- Freshness (date and version relevance?)
- Specificity (direct evidence vs vague summary?)
- Independence (not circularly citing same origin?)
- Reproducibility (can reader verify?)
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.
- 12d ago First seen · 108 lines · 51 tokens per session scan A 8ddaec817096
gigaplexity-research-verification is a skill published in the GitHub repository alexsvdk/gigaplexity-mcp (6 stars, last pushed 2mo ago), licensed MIT. It adds 51 tokens to every session and 970 once invoked, about $0.0003 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.
Other skills, from other repositories
opik-diagnose
Surface the Opik traces worth a developer's attention, ranked by signal — Diagnostics issues first, then errors, failed tool calls, latency, regressions, and low online-eval scores. With the Opik MCP connected it lists the project's agentinsightsissue entities, offers to turn Diagnostics on when the project has it…
cortex-explore-memory
Explore the memory system's state, find gaps in knowledge, assess coverage, and get diagnostic information. Use when the user asks 'what does my memory look like', 'show me memory stats', 'what am I missing', 'how good is my knowledge', 'memory health', 'show coverage', 'find gaps', 'what topics are weak', or when you…
quick-capture
Use this skill to drop a new task into GSD Task Manager from any AI assistant that has the gsd-mcp-server connected.
event-staffing-ordering
Order W-2 event staff for US/CA events through TempGuru.
delegacion-local
Regla y catálogo para delegar pasos mecánicos (resumir, clasificar, extraer, boilerplate, mensaje de commit desde un diff, traducir texto o archivo, resumir salida de lint/tests/CI, explicar código, describir una imagen, verificar si el backend local está disponible) a modelos locales vía las tools local del MCP…
chainstack
Work with the Chainstack MCP server to manage blockchain nodes and projects. Use when deploying nodes, migrating to Chainstack from another RPC provider such as QuickNode or Alchemy, checking platform status, searching Chainstack docs, contacting the Chainstack team, or interacting with the Chainstack platform API via…