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/gpt-agi/clawd-code/echo-argnpx skills add GPT-AGI/Clawd-Code --skill echo-arggit clone --depth 1 https://github.com/GPT-AGI/Clawd-CodeWhat 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 | $0.00010 | $0.00034 |
| Opus 5 | $0.00005 | $0.00017 |
| Sonnet 5 | $0.00002 | $0.00007 |
| Haiku 4.5 | $0.00001 | $0.00003 |
Grade A, and why
echo-arg 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.
What it actually says
Repeat this value exactly, with no extra words: $arg
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 First seen · 8 lines · 10 tokens per session scan A 4ef6daee8f83
echo-arg is a skill published in the GitHub repository GPT-AGI/Clawd-Code (572 stars, last pushed 4mo ago), licensed MIT. It adds 10 tokens to every session and 34 once invoked, about $0.0001 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.
Other skills, from other repositories
clawmetry-selfcheck
Read your own agent telemetry from ClawMetry (waste, progress, cost) and act on it before finishing a task. Use when ClawMetry is installed on this machine and you want to check whether you are re-reading files, spinning in loops, or burning budget.
go-rig
Use this skill when building, reviewing, or refactoring Go code that must follow strict design discipline — ATDD/TDD workflow, explicit dependency injection, package-boundary discipline, and structured code review. Complements CLAUDE.md by focusing on process and design judgment rather than version-specific Go…
clawmetry
Real-time observability for OpenClaw agents — local dashboard + optional encrypted cloud sync. Tracks costs, tokens, sessions, tool calls, memory, crons, and system health. Access from anywhere via ClawMetry Cloud.
frontend-dashboard
Use this skill when editing the embedded dashboard frontend in this repository. It focuses on preserving the single-file embedded SPA model, keeping the UI lightweight, and avoiding unnecessary frontend tooling or dependencies.
go-review
Use this skill when the task is to review Go code in this repository. Focus on bugs, regressions, API compatibility, test gaps, concurrency risks, and violations of the zero-dependency and root-facade constraints.
project-ops
Use this skill when working on repository operations in this project, including build, test, lint, release, CI alignment, Makefile-driven checks, and operational packaging constraints.