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 skills/lbx154/argus/argus-runnpx skills add lbx154/Argus --skill argus-rungit clone --depth 1 https://github.com/lbx154/ArgusWrote 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/skills/lbx154/argus/argus-run)<a href="https://agentmods.dev/skills/lbx154/argus/argus-run"><img src="https://agentmods.dev/badge/skills/lbx154/argus/argus-run.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 | $0.00032 | $0.00275 |
| Opus 5 | $0.00016 | $0.00138 |
| Sonnet 5 | $0.00006 | $0.00055 |
| Haiku 4.5 | $0.00003 | $0.00028 |
Grade A, and why
argus-run 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 4d 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
Run With Argus
Use the installed Argus MCP tools. Do not imitate the Argus roles in the host session and do not write Argus state files directly.
- Call
argus_project_listwith the exact current work directory. - Reuse the most recently active exact-workdir project when one exists;
otherwise call
argus_project_createwith that directory and a concise name. - Call
argus_messagewith the user's complete objective. Manager owns chat versus task routing, lifetime, workflow, domain, and execution handoff. - Report the project ID and whether the turn was handled inline or dispatched.
- For dispatched work, stop the current turn. Do not create an unchanged polling
loop; use the
argus-statusSkill when status is requested.
If the MCP server is unavailable, run argus --doctor and report the exact
installation or backend failure. Do not silently replace Argus with an ad hoc
single-agent workflow.
Never claim completion from dispatch, daemon activity, loss, or intermediate artifacts. Argus completion comes from its persisted Reviewer/Manager state.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago First seen · 26 lines · 32 tokens per session scan A 19ff4569dfbf
argus-run is a skill published in the GitHub repository lbx154/Argus (298 stars, last pushed today), licensed MIT. It adds 32 tokens to every session and 275 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 2026-08-30.
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chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
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