Borrowing it
Nothing to install: this file belongs to MisterClean/ballot-endorsement-guide. 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/MisterClean/ballot-endorsement-guide/main/CLAUDE.mdgit clone --depth 1 https://github.com/MisterClean/ballot-endorsement-guideWrote 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/misterclean/ballot-endorsement-guide/claude-md)<a href="https://agentmods.dev/instructions/misterclean/ballot-endorsement-guide/claude-md"><img src="https://agentmods.dev/badge/instructions/misterclean/ballot-endorsement-guide/claude-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/misterclean/ballot-endorsement-guide/claude-md"><img src="https://agentmods.dev/badge/instructions/misterclean/ballot-endorsement-guide/claude-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 | $0.00316 | $0.00316 |
| Opus 5.5 | $0.00126 | $0.00126 |
| Sonnet 5.5 | $0.00063 | $0.00063 |
| Haiku 4.5 | $0.00032 | $0.00032 |
Grade A, and why
ballot-endorsement-guide CLAUDE.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 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.
What it actually says
CLAUDE.md
Developer notes for working in this repository.
Commands
cd frontend
npm run dev
npm run lint
npm test
npm run test:fast
npm run build
npm start
Architecture
Next.js full-stack app for ballot endorsement lookup by address or coordinates.
Core flow:
- Address autocomplete and reverse geocoding are provider-backed via
/api/autocompleteand/api/reverse. /api/lookupaccepts address orlat/lng.- Coordinates are validated against configured jurisdiction bounds.
- Turf.js point-in-polygon resolves district layers.
- Endorsements are matched from
frontend/data/endorsements.yaml.
Important Files
frontend/src/lib/app-config.ts: org branding + jurisdiction + map layer configfrontend/src/lib/services.ts: district lookup and endorsement matching logicfrontend/src/lib/geocoding/: geocoder provider implementationsfrontend/src/app/api/lookup/route.ts: main lookup endpointfrontend/data/district-maps/: district boundary GeoJSON packsfrontend/data/endorsements.yaml: endorsement dataset
Environment Variables
Set exactly one based on the selected provider:
GEOCODE_EARTH_API_KEYMAPBOX_ACCESS_TOKENGOOGLE_MAPS_API_KEYGEOAPIFY_API_KEY
Deployment
railway.toml and Dockerfile are configured for Railway-compatible Docker deploys.
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 · 50 lines · 316 tokens per session scan A 429b56995d9d
ballot-endorsement-guide CLAUDE.md is an instructions file published in the GitHub repository MisterClean/ballot-endorsement-guide (2 stars, last pushed 9mo ago), licensed MIT. It adds 316 tokens to every session, about $0.0013 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.
ballot-endorsement-guide CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ballot-endorsement-guide CLAUDE.mdMisterClean/ballot-endorsement-guide | Instructions file | 2 | 9mo ago | MIT | A | 316 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |