Model Context Protocol · By bgauryy

Runs blind pairwise comparisons of Octocode against a gh-based baseline over markdown research questions, scored by total characters through the model rather than self-report.

bgauryy/octocode

Researches code with evidence: traces callers, imports and cross-repo links, diagnoses failures and reports findings with exact file and line references and a confidence label.

bgauryy/octocode

Poses and animates a 22-bone anatomical humanoid rig with joint range-of-motion limits, using a Node CLI, a Three.js viewer and WebMCP tools an agent can drive live.

bgauryy/octocode

A skill your agent uses when a live page needs Chrome DevTools/CDP evidence: network failures, console errors, performance, DOM/CSS actionability, screenshots/PDF, cookies/storage…

bgauryy/octocode

Runs a measurable keep-or-discard improvement loop against a runnable sensor, from framing a goal and KPI through baseline, judging and held-out verification.

bgauryy/octocode

A skill your agent uses when extracting or mapping public web content into a local cited corpus: scrape or crawl a URL/docs site, pull tables/pricing/product fields, diagnose blocked or thin pages…

bgauryy/octocode

A skill your agent uses when an agent prompt, tool schema, policy, or handoff needs to get clearer, safer, easier to trigger, cheaper in context, or measurable against real behavior.

bgauryy/octocode

A skill your agent uses when a consequential change needs a decision before coding: write or improve an RFC, design doc, architecture proposal, migration plan, option comparison, rollout plan, or…

bgauryy/octocode

A skill your agent uses when code needs a blunt evidence-backed roast or memorable critique: smell inventory, debt ranking, hot-path autopsy, savage/diff review, security or performance sins, or…

bgauryy/octocode