Borrowing it
Nothing to install: this file belongs to DeepLink-org/probing. 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/DeepLink-org/probing/master/AGENTS.mdgit clone --depth 1 https://github.com/DeepLink-org/probingWrote 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/deeplink-org/probing/agents-md)<a href="https://agentmods.dev/instructions/deeplink-org/probing/agents-md"><img src="https://agentmods.dev/badge/instructions/deeplink-org/probing/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/deeplink-org/probing/agents-md"><img src="https://agentmods.dev/badge/instructions/deeplink-org/probing/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 | $0.03615 | $0.03615 |
| Opus 5.5 | $0.01446 | $0.01446 |
| Sonnet 5.5 | $0.00723 | $0.00723 |
| Haiku 4.5 | $0.00362 | $0.00362 |
Grade A, and why
probing 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 — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent instructions — probing
This repository uses the Agent Skills layout for training diagnostics.
Module boundaries
Before adding code, read docs/src/design/modularity.md (中文: modularity.zh.md).
| Layer | Where | Your change belongs if… |
|---|---|---|
| L1 Platform | probing/core, memtable, proto |
SQL engine, federation, storage format |
| L2 Collectors | probing/extensions/*, python/probing/profiling |
New metrics / tables |
| L3 Control | probing/server, probing/cli |
HTTP, inject, fan-out |
| L4 Experience | skills/, web/, Python hooks |
Diagnostics UX, skills, UI |
Contracts: ProbeDataSource (tables), ProbeExtension (config/HTTP), @table (Python data), skills/*/steps.yaml (workflows). Do not add cross-collector calls — use SQL JOINs.
Coding principles
These rules extend docs/src/design/modularity.md. Read that doc for layer ownership and dependency direction; follow the rules below on every change.
Minimal diff (pragmatic)
- Solve the stated problem only. No cross-module drive-by refactors, renames, or formatting.
- In touched files, necessary follow-on edits are OK — fix what the change breaks in the same module; do not expand scope to unrelated modules.
- One concern per PR. A bug fix should not also add a feature; a skill SQL tweak should not also change server routing.
- Composition stays at the root. New wiring belongs in
probing/server/src/engine.rs(or the relevant composition root), not sprinkled across L2 collectors. - Prefer under 500 lines diff. Larger PRs need a short justification in the description.
Refactoring in the same PR is allowed only when under 50 lines and confined to one module/crate. Larger refactors → separate PR first.
High cohesion, low diffusion
Each crate / directory owns one concern end-to-end. Default: ≤2 modules/crates per PR. A third module is OK with justification in the PR description.
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 · 270 lines · 3,615 tokens per session scan A 3b6c3d3a354a
probing AGENTS.md is an instructions file published in the GitHub repository DeepLink-org/probing (10 stars, last pushed 13d ago), licensed Apache-2.0. It adds 3,615 tokens to every session, about $0.0145 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.
probing AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| probing AGENTS.mdDeepLink-org/probing | Instructions file | 10 | 13d ago | Apache-2.0 | A | 3,615 | 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 |