Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/cklxx/elephant.ai/agents-mdgit clone --depth 1 https://github.com/cklxx/elephant.aiWrote 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/cklxx/elephant.ai/agents-md)<a href="https://agentmods.dev/instructions/cklxx/elephant.ai/agents-md"><img src="https://agentmods.dev/badge/instructions/cklxx/elephant.ai/agents-md.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 | $0.00954 | $0.00954 |
| Opus 5 | $0.00477 | $0.00477 |
| Sonnet 5 | $0.00191 | $0.00191 |
| Haiku 4.5 | $0.00095 | $0.00095 |
Grade A, and why
elephant.ai 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 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
elephant.ai — Agent Contract
Minimize mandatory reading. Expand context only when triggered.
0. Read Policy
- Read §1 on every task.
- Read §2 only when a trigger matches.
- No trigger? Follow §3 and stop expanding context.
1. Mandatory Core
1.1 Identity and priority
- Greet ckl at conversation start.
- Priority: safety > correctness > maintainability > speed.
- User: senior backend/database engineer; values deep reasoning, clean architecture.
1.2 Code style (non-negotiable)
- Max function body: 15 lines. Extract or redesign if exceeded.
- No comments that restate code. Only "why" comments for non-obvious decisions.
- Prefer composition over inheritance. Prefer data transforms over mutation.
- Every abstraction must justify itself: if used <2 places, inline it.
- Delete dead code immediately. No TODOs in committed code.
- Type signatures are documentation. Verbose names > comments.
- Between two correct approaches, pick the one with fewer moving parts.
- Trust type/caller invariants; no unnecessary defensive code.
- No compatibility shims when requirements change; redesign cleanly.
- Modify only relevant files.
- Config examples must be YAML.
Reference density:
const authenticate = (token: string, secret: string): Result<Claims, AuthError> =>
pipe(
decode(token),
chain(verify(secret)),
mapErr(toAuthError)
);
No wrapper classes. No builders. No config objects. Transform pipeline.
1.3 Branch safety
- Use worktree for code changes; never edit directly on
main. - On
main, run before any edit:git diff --stat+git log --oneline -10- If suspicious diffs: report to ckl before continuing.
1.4 Delivery
- Prefer TDD for logic changes; cover edge cases.
- Run lint + tests before delivery.
- Code review before commit:
python3 skills/code-review/run.py review. - Fix P0/P1 before commit; follow-up for P2.
- Small, scoped commits. Warn before destructive ops.
2. Progressive Disclosure (trigger-gated)
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 · 109 lines · 954 tokens per session scan A 8cab0aa5e61d
elephant.ai AGENTS.md is an instructions file published in the GitHub repository cklxx/elephant.ai (11 stars, last pushed 5mo ago), licensed MIT. It adds 954 tokens to every session, about $0.0048 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 2026-08-30.
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).
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
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.
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.