Borrowing it
Nothing to install: this file belongs to rygel/AIUsageTracker. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/rygel/AIUsageTracker/main/AGENTS.mdgit clone --depth 1 https://github.com/rygel/AIUsageTrackerWrote 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/rygel/aiusagetracker/agents-md)<a href="https://agentmods.dev/instructions/rygel/aiusagetracker/agents-md"><img src="https://agentmods.dev/badge/instructions/rygel/aiusagetracker/agents-md/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/instructions/rygel/aiusagetracker/agents-md"><img src="https://agentmods.dev/badge/instructions/rygel/aiusagetracker/agents-md.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 | $0.08825 | $0.08825 |
| Opus 5.5 | $0.03530 | $0.03530 |
| Sonnet 5.5 | $0.01765 | $0.01765 |
| Haiku 4.5 | $0.00882 | $0.00882 |
Grade A, and why
AIUsageTracker AGENTS.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 1mo 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 — 803 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Usage Tracker - Monitor Guidelines
This document provides essential information for agentic coding assistants working on this .NET 8.0 WPF application.
Critical Rules
NEVER Wipe User Settings (CRITICAL)
- User preferences are sacred. NEVER allow a deserialization failure to reset ALL preferences to defaults.
AppPreferences.DeserializeMUST catchJsonExceptionand retry with lenient options before falling back to defaults. A single incompatible property must NEVER destroy every setting the user has configured.- Every enum property on
AppPreferencesMUST have[JsonConverter(typeof(JsonStringEnumConverter<T>))]so it accepts both string and numeric values on read. This is mandatory for forward/backward compatibility across versions. - Mandatory tests — these MUST exist and MUST pass or the build fails:
preferences.jsonwith string enum values (e.g."UpdateChannel": "Beta") must deserialize correctly even if the current code writes numeric.preferences.jsonwith numeric enum values (e.g."UpdateChannel": 1) must deserialize correctly even if the current code writes strings.- A
preferences.jsonwith ONE corrupt property must still salvage ALL other valid properties — the corrupt one is skipped, not the entire file.
- Root cause context: Merge commit
8eb7c163silently dropped theJsonStringEnumConverterattribute fromUpdateChannel. Users who had"UpdateChannel": "Beta"(string) in theirpreferences.jsonhit aJsonExceptionon startup, andPreferencesStore.LoadAsync()returnednew AppPreferences()— wiping EVERY setting (theme, fonts, thresholds, window position, notification config, hidden providers, everything). This must NEVER happen again.
NEVER Cause Data Loss in Migrations (CRITICAL)
- Customer data is sacred. A database migration MUST NEVER lose data. Every column must survive every migration step.
- SQLite table-recreation migrations (CREATE new → INSERT INTO new → DROP old → RENAME) are the #1 data-loss risk. The INSERT SELECT MUST include EVERY column that exists in the source table. No exceptions.
- Mandatory: When adding a column to
provider_history(or any table thatConvertTimestampsToEpochIfNeededrecreates), the column MUST be added to BOTH:- The CREATE TABLE statement in the conversion
- The INSERT INTO ... SELECT statement in the conversion
- Mandatory test: Every table-recreation migration MUST have a test that inserts data WITH the relevant columns populated, runs the migration, and verifies the data survived. A test that only checks column existence is NOT sufficient — it must verify DATA preservation.
- Single source of truth: The EnsureColumn calls and the conversion's column list must stay in sync. If they drift, data is silently destroyed. The conversion's CREATE TABLE and INSERT SELECT must match the EnsureColumn list exactly.
- Root cause context: PR #654 added 6 card columns (
card_type,window_kind,card_id,group_id,model_name,name) toprovider_history.ConvertTimestampsToEpochIfNeededrecreated the table with a hardcoded 15-column INSERT that didn't include them. The columns were added back empty via EnsureColumn AFTER the recreation — permanently wiping card classification data from all historical rows. This caused OpenAI dual bars to disappear.
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.
- 1mo ago First seen · 803 lines · 8,825 tokens per session scan A 076d23166937
AIUsageTracker AGENTS.md is an instructions file published in the GitHub repository rygel/AIUsageTracker (48 stars, last pushed 7d ago), licensed MIT. It adds 8,825 tokens to every session, about $0.0353 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 2026-08-30.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.