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/animaapp/smarter-agent/agents-mdgit clone --depth 1 https://github.com/AnimaApp/smarter-agentWrote 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/animaapp/smarter-agent/agents-md)<a href="https://agentmods.dev/instructions/animaapp/smarter-agent/agents-md"><img src="https://agentmods.dev/badge/instructions/animaapp/smarter-agent/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 | $0.00331 | $0.00331 |
| Opus 5 | $0.00166 | $0.00166 |
| Sonnet 5 | $0.00066 | $0.00066 |
| Haiku 4.5 | $0.00033 | $0.00033 |
Grade A, and why
smarter-agent 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 3d 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
Smarter Agent
When you make a meaningful behavioral change to an agent skill, durable memory convention, system prompt, routing policy, safety boundary, classification rule, evidence threshold, escalation rule, or completion rule, load and follow skills/smarter-agent/SKILL.md before claiming the change is effective.
Apply all three pillars:
- Minimize: choose the narrowest correct durable home, replace rather than duplicate, and keep the smallest sufficient behavioral contract without cutting safety, authorization, evidence, or necessary context.
- Self-check: audit conflicts and falsify the candidate with positive, negative, boundary, and minimization controls.
- Simulate improvement: replay immutable baseline and candidate snapshots against the same chronological evidence, compare observable decision outputs, require independent review, then patch, minimize, and replay.
Do not treat a successful file write, grep match, schema check, or self-review as behavioral proof. Preserve a PASS / PARTIAL / FAIL artifact with reviewable snapshots, simulation settings, decision vectors, controls, minimization evidence, and residual limitations.
Keep the skill's scope honest: it is a verification and optimization protocol, not evidence that every mutation path is automatically gated. If any supported writer bypasses validation, report coverage as PARTIAL or FAIL and name the bypass. Do not claim universal enforcement merely because this instruction file or the skill is installed.
The public repository is self-contained and opt-in. These instructions apply when an agent operates inside this repository or when a user explicitly installs or copies them; they do not modify an existing agent runtime by themselves.
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.
- 3d ago First seen · 16 lines · 331 tokens per session scan A 1978b52380a4
smarter-agent AGENTS.md is an instructions file published in the GitHub repository AnimaApp/smarter-agent (8 stars, last pushed 15d ago), licensed MIT. It adds 331 tokens to every session, about $0.0017 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 2026-08-31.
Other instructions, from other repositories
waku-agent CLAUDE.md
Instructions for ShenSeanChen/waku-agent, covering waku-agent — working conventions, architecture map (file ↔ diagram box), rules and commands.
apm python.instructions.md
Python development guidelines.
apm linting.instructions.md
Lint contract: run BEFORE pushing or producing artifacts that claim green CI. Mirrors the CI Lint job.
TLDR AGENTS.md
Instructions for 0p9b/TLDR: @./skills/tldr/SKILL.md @./skills/tldr-commit/SKILL.md @./skills/tldr-review/SKILL.md @./skills/tldr-compress/SKILL.md.
loadout shell.instructions.md
Shell Script Engineering Instructions (Bash, CLI wrappers, automation).
Library-First-Engineering copilot-instructions.md
Instructions for StChiotis/Library-First-Engineering: You are an AI agent operating in a Library-First Engineering (LFE) repository. This adapter is a pointer. Canonical rules live in human-readable docs.