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.
git clone --depth 1 https://github.com/josstei/argus-claudeWrote 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/josstei/argus-claude/welcome)<a href="https://agentmods.dev/commands/josstei/argus-claude/welcome"><img src="https://agentmods.dev/badge/commands/josstei/argus-claude/welcome/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/commands/josstei/argus-claude/welcome"><img src="https://agentmods.dev/badge/commands/josstei/argus-claude/welcome.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 | $0.00008 | $0.00211 |
| Opus 5.5 | $0.00003 | $0.00084 |
| Sonnet 5.5 | $0.00002 | $0.00042 |
| Haiku 4.5 | $0.00001 | $0.00021 |
Grade A, and why
welcome 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 1mo 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
Argus Welcome
Display the welcome message and getting started guide.
Output
Display this message:
=====================================
Argus - The All-Seeing Code Reviewer
=====================================
Quick Start:
/argus:review Run review (shows confirmation)
/argus:review --yes Run with defaults (no prompt)
/argus:review --level fast Quick scan with Haiku
/argus:review --external Add detected external validators
Review Levels:
fast Haiku | ~2 min | Quick scan
balanced Sonnet | ~5 min | Standard review
comprehensive Opus | ~8 min | Deep analysis
Settings:
/argus:config View current settings
/argus:config set scope X Set default scope
/argus:config set output X Save reports as markdown/json
Just run /argus:review to get started!
=====================================
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.
- 1mo ago First seen · 37 lines · 8 tokens per session scan A 825a0186205e
welcome is a command published in the GitHub repository josstei/argus-claude (6 stars, last pushed 8mo ago), licensed MIT. It adds 8 tokens to every session and 211 once invoked, about $0.0000 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 2026-08-31.
Other commands, from other repositories
create-pr
Create a GitHub pull request from a pushed branch with ticket-aware title and body generation. Not for: committing, pushing, merging, releasing, or editing an existing PR. Output: a dry-run gh pr create command by default, or the created PR URL after explicit execution.
init
Install the formatters this repository needs, with every command visible before it runs.
simplify
The over-engineering review: five tags (delete, stdlib, native, yagni, shrink), a mandatory replacement per finding, and a real null result when there is nothing to cut.
git
The pre-finish status: branch, hygiene findings, message checks, workflow lint, template state.
extend
Capture a mid-PR sub-idea and implement it onto the current open PR's branch — no new branch, no new PR. Preserves Verify → Review → Deliver.
security-review
Depth-first security audit of the current git diff — OWASP Top 10, secret leakage, insecure-by-default APIs, and language-specific foot-guns. Pass a PR number to audit a specific PR's diff.