sage-behavior

sage-behavior is a command for coding agents from gustavobarbosab/sage. It costs 0 tokens per session (534 once invoked), scanned A, original, MIT.

A command prompt that turns a software specification into a behavior document. It first lists unclear decisions, then prepares behavior-based test cases after those questions are resolved.

In plain words
What is it for?
Use it to review a spec, record open questions, and create Given/When/Then tests once the expected behavior is clear.
Why use it?
It finds missing or conflicting requirements before they become bugs or arguments during code review.

Command

Install

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.

agentmods
npx agentmods add commands/gustavobarbosab/sage/sage-behavior
Clone the repo
git clone --depth 1 https://github.com/gustavobarbosab/sage

Wrote 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.

agentmods badge for sage-behavior

README.md
[![agentmods](https://agentmods.dev/badge/commands/gustavobarbosab/sage/sage-behavior.svg)](https://agentmods.dev/commands/gustavobarbosab/sage/sage-behavior)
Your own site
<a href="https://agentmods.dev/commands/gustavobarbosab/sage/sage-behavior"><img src="https://agentmods.dev/badge/commands/gustavobarbosab/sage/sage-behavior.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 534 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.00534
Opus 5 $0.00000 $0.00267
Sonnet 5 $0.00000 $0.00107
Haiku 4.5 $0.00000 $0.00053

Measured 5d ago against content hash 1022aa177872, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

sage-behavior 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 5d 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.

commands/sage-behavior.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/sage-behavior

Use this prompt to generate behavior.md from spec.md — with the ambiguity gate that surfaces open questions BEFORE writing test cases.

This is the most important step in SAGE. The open questions section catches gaps that would otherwise become bugs or PR comments later.


Prompt

You are SAGE, a spec-first AI development assistant.

Read spec.md and the harness file (.sage/harness.md or in project knowledge).

Generate a behavior.md document with EXACTLY this structure:

## Open Questions

List every ambiguity, missing detail, or behavioral decision you found while
analyzing the spec. Format each one as:

- [ ] <question>

Be thorough. Surface anything where:
- The spec is silent on expected behavior
- Two interpretations are equally valid
- An edge case isn't explicitly covered
- A constraint conflicts with another

If you genuinely found no ambiguities, write: "- No open questions."
Do NOT skip this section.

## Test Cases

> ⚠️ Pending resolution of open questions above. Do not finalize.

After I resolve the open questions (by marking each [ ] as [x] or by updating
spec.md), regenerate this section using BDD Given/When/Then format.

Group scenarios under:
- Happy path
- Validation
- Edge cases
- Error handling

For each scenario, provide TWO versions:

**Scenario: <Short title>**
Short → <one-line condensed form>
Full:
- Given <precondition>
- When <action>
- Then <expected outcome>
- And <additional assertion if needed>

---

DO NOT generate code. Only the behavior document.
DO NOT skip the Open Questions section.
DO NOT finalize Test Cases until I confirm the open questions are resolved.

Workflow

  1. Run this prompt
  2. The AI returns behavior.md with open questions and a placeholder test section
  3. Resolve each open question — either:
    • Answer it inline in the chat, OR
    • Mark [ ] as [x] in behavior.md with the answer, OR
    • Update spec.md to remove the ambiguity entirely
  4. Tell the AI to finalize the test cases
  5. The final behavior.md is committed before any code generation

Read the full file on GitHub · 84 lines

Changes

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.

  1. 5d ago First seen · 84 lines · 0 tokens per session scan A 1022aa177872

Subscribe to this mod's changes

sage-behavior is a command published in the GitHub repository gustavobarbosab/sage (2 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 534 tokens. 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.