Borrowing it
Nothing to install: this file belongs to unbound-force/gaze. 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/unbound-force/gaze/main/.opencode/commands/uf.agent-brief.mdgit clone --depth 1 https://github.com/unbound-force/gazeWrote 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/commands/unbound-force/gaze/uf.agent-brief)<a href="https://agentmods.dev/commands/unbound-force/gaze/uf.agent-brief"><img src="https://agentmods.dev/badge/commands/unbound-force/gaze/uf.agent-brief.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 | $0.00043 | $0.04572 |
| Opus 5 | $0.00022 | $0.02286 |
| Sonnet 5 | $0.00009 | $0.00914 |
| Haiku 4.5 | $0.00004 | $0.00457 |
Grade A, and why
uf.agent-brief 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 2d 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 — 513 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Command: /uf.agent-brief
Description
Manage the AGENTS.md lifecycle: create, audit, and improve the project briefing that AI coding agents read at session start.
AGENTS.md is the API contract between humans and AI agents. It tells agents how to build, test, and lint the project, what conventions to follow, and what constraints to respect. Without a good AGENTS.md, every agent session starts from cold context.
Modes:
- No AGENTS.md → Create mode (analyze project, generate file)
- AGENTS.md exists → Audit mode (score, report, suggest)
/uf.agent-brief create→ Force create mode (overwrite)/uf.agent-brief audit→ Force audit mode (read-only)
Instructions
Step 1: Mode Detection
-
Check if AGENTS.md exists at the repository root.
-
Parse the user's argument (if any):
create→ force create modeaudit→ force audit mode- No argument → auto-detect based on file existence
-
Route to the appropriate mode:
- Create mode: No AGENTS.md exists, or user passed
create - Audit mode: AGENTS.md exists, or user passed
audit
- Create mode: No AGENTS.md exists, or user passed
-
Announce the selected mode:
- Create:
"No AGENTS.md found. Analyzing project to generate one..." - Audit:
"Found AGENTS.md (N lines). Running quality audit..." - Force create:
"Force-creating AGENTS.md. Existing file will be replaced after your review."
- Create:
Step 2: Project Analysis
Analyze the project to understand its characteristics. Read the following files (skip any that do not exist):
Language & Dependencies:
go.mod→ Go project (extract module name, Go version, key deps)package.json→ Node/TypeScript project (extract name, scripts, key deps)Cargo.toml→ Rust project (extract name, edition, key deps)pyproject.toml→ Python project (extract name, version, key deps)tsconfig.json→ TypeScript confirmation
Build System (read only in Create mode or when refreshing
Build & Test section in Audit mode):
6. Makefile or justfile → extract build/test/lint targets
7. .github/workflows/ → read CI workflow files to find exact
build, test, vet, and lint commands (these are the source of
truth for build commands)
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.
- 2d ago Changed · -36 lines · -22 tokens per session e752752ac454
- 6d ago First seen · 549 lines · 65 tokens per session scan A 259f775e256a
uf.agent-brief is a command published in the GitHub repository unbound-force/gaze (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 43 tokens to every session and 4,572 once invoked, about $0.0002 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 commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.