Borrowing it
Nothing to install: this file belongs to tetracoralla/context-surface-analyzer. 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/tetracoralla/context-surface-analyzer/main/AGENTS.mdgit clone --depth 1 https://github.com/tetracoralla/context-surface-analyzerWrote 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/tetracoralla/context-surface-analyzer/agents-md)<a href="https://agentmods.dev/instructions/tetracoralla/context-surface-analyzer/agents-md"><img src="https://agentmods.dev/badge/instructions/tetracoralla/context-surface-analyzer/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/tetracoralla/context-surface-analyzer/agents-md"><img src="https://agentmods.dev/badge/instructions/tetracoralla/context-surface-analyzer/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 | $0.00531 | $0.00531 |
| Opus 5.5 | $0.00212 | $0.00212 |
| Sonnet 5.5 | $0.00106 | $0.00106 |
| Haiku 4.5 | $0.00053 | $0.00053 |
Grade A, and why
context-surface-analyzer 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 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.
How it starts
The opening of the file, as written. The whole thing — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context Surface Analyzer repository contract
Current source ownership is context-surface-analyzer in Agent Host. This repository retains historical source. Apply new implementation and release work in Agent Host; the contract below describes this retained implementation.
Read docs/PRODUCT_MODEL.md
and docs/REVIEW_CONTRACT.md before changing behavior, schemas, limits, or
claims.
Authority and boundaries
- Current source, executable tests, and current CLI/MCP/web runtime control factual claims. Generated reports do not certify utility, safety, adoption, or completeness.
- The shared core in
src/core.jsowns analysis and comparison semantics. CLI, MCP, and web routes are adapters and must not independently implement them. - Inputs are explicit bounded snapshots. Do not add passive observation, filesystem crawling, host discovery, credentials, network calls, model calls, automatic routing, enable/disable actions, or retirement recommendations.
- Exact UTF-8 byte counts are for canonical JSON defined by this product. They are not token estimates. Token measurements are caller-supplied observations and remain labeled by source, provider, model, serialization, and tokenizer version when supplied.
- Name collisions are exact and case-sensitive. Duplicate schemas require exact canonical equality. Do not silently upgrade these observations into semantic similarity or product value judgments.
- This MVP declares no provider-neutral Capability Profile or Procedure Profile. Do not create one without a separate standardization decision.
Change rules
- Keep snapshot fields and transport arguments closed and reject unknown keys.
- Keep all requests and complete responses cumulatively bounded. Every relaxed limit requires a current consumer and a negative regression test.
- Preserve one-call dominant Agent routes:
context.analyzeandcontext.diff. - Keep MCP annotations read-only, non-destructive, idempotent, and closed-world.
- Keep the MCP carrier's 2025 legacy-era boundary explicit. Do not advertise 2026 modern-era support without the required per-era negotiation and wire codec through a portable installed runtime.
- Keep the human surface local, narrow, and free of Agent protocol metadata.
- Add the smallest negative regression for every repaired guard or ambiguity.
- Do not commit, push, publish, install globally, or edit a sibling repository without explicit owner authorization.
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 Changed · +4 lines · +52 tokens per session d25e4f5940eb
- 2mo ago First seen · 44 lines · 479 tokens per session scan A 739d062b664c
context-surface-analyzer AGENTS.md is an instructions file published in the GitHub repository tetracoralla/context-surface-analyzer (0 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 531 tokens to every session, about $0.0021 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.
context-surface-analyzer AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| context-surface-analyzer AGENTS.mdtetracoralla/context-surface-analyzer | Instructions file | 0 | 2mo ago | Apache-2.0 | A | 531 | Codex, OpenCode |
| 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 |