Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
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.
[](https://agentmods.dev/instructions/gunnarguy/plaudblender/copilot-instructions)<a href="https://agentmods.dev/instructions/gunnarguy/plaudblender/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/gunnarguy/plaudblender/copilot-instructions.svg" alt="Measured on agentmods" 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 | $0.01653 | $0.01653 |
| Opus 5 | $0.00826 | $0.00826 |
| Sonnet 5 | $0.00331 | $0.00331 |
| Haiku 4.5 | $0.00165 | $0.00165 |
Grade A, and why
PlaudBlender copilot-instructions.md 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 6d 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PlaudBlender — AI Agent Instructions
This file is auto-loaded into every Copilot conversation. It tells you how to navigate and work in this project.
Quick Orientation
| What | Where |
|---|---|
| Full docs | docs/PROJECT_GUIDE.md — architecture, structure, and roadmap |
| MVP spec | docs/chronos-mvp.md — complete Chronos system architecture |
| Entry point | python scripts/launch_app.py — Dash v2 UI on port 8050 |
| Pipeline | python scripts/chronos_pipeline.py --full — ingest → process → index → graph |
| Tests | python -m pytest tests/ — 124 tests, run before committing |
What This Project Does
Chronos transforms Plaud voice recordings into a searchable knowledge timeline:
- Fetches transcripts from Plaud API (OAuth) and stores locally
- Processes through Gemini AI for cognitive cleaning (removes filler, extracts events)
- Indexes to Qdrant with temporal metadata (day-of-week, hour, category)
- Provides Dash UI with interactive Knowledge Graph (Cytoscape)
- Full Plaud integration: devices, workflows, webhooks
- MCP server for OpenAI/ChatGPT tool access to your knowledge timeline
- Auto-sync via webhooks and USB watcher for real-time ingestion
UI Layout (Dash v2 — app_v2/)
| View | Purpose |
|---|---|
| Timeline | Date-grouped event timeline, click recording → detail panel |
| Topics | Events grouped by category (work, meeting, personal, etc.) |
| Search | Semantic search with category/date filters + AI answers (GPT-5.4) |
| Graph | Interactive Cytoscape knowledge graph, 6 layouts, node click details |
| Stats | 8 stat cards, sentiment chart, productivity insights, API cost tracking |
| Notion | Notion uplink — OAuth, page filter, channel select, sync to Notion |
| Sync | Pipeline dashboard: status counts, Full Sync, Reset Stuck |
| Settings | Connectivity checks for Plaud, Gemini, Qdrant, model pricing in dropdowns |
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.
- 6d ago First seen · 114 lines · 1,653 tokens per session scan A 06fdac366ba2
PlaudBlender copilot-instructions.md is an instructions file published in the GitHub repository Gunnarguy/PlaudBlender (5 stars, last pushed yesterday), licensed MIT. It adds 1,653 tokens to every session, about $0.0083 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 instructions, from other repositories
remnic AGENTS.md
AGENTS.md instructions for joshuaswarren/remnic, covering remnic - agent guide, architecture boundaries (non-negotiable), upstream references, adapter implementation rules and openclaw compatibility window.
engraphis AGENTS.md
AGENTS.md instructions for Coding-Dev-Tools/engraphis, covering agents.md — engraphis, internal subagent delegation, 0. read this first — two architectures live in one package, 1. commands and ── unified dashboard + memory inspector ──.
engraphis CLAUDE.md
Claude Code instructions for Coding-Dev-Tools/engraphis, covering claude.md, the one rule that prevents most mistakes, before you say "done" — run the canonical gate, slash commands available here and working style in this repo.
neurostack CLAUDE.md
Instructions for raphasouthall/neurostack, covering neurostack - claude code guide, quick reference, installation, mcp server (recommended for claude code) and openai-compatible api.
my-wiki AGENTS.md
Instructions for NimaChu/my-wiki, covering my wiki agent project, project map, knowledge model, route requests and development checks.
llm-wiki-newsroom CLAUDE.md
Claude Code instructions for alfadur7/llm-wiki-newsroom, covering llm wiki newsroom, roles, universal cycle, the four loops and reground.