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 agents/wrg32786/aigent-os/echogit clone --depth 1 https://github.com/wrg32786/aigent-osWrote 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/agents/wrg32786/aigent-os/echo)<a href="https://agentmods.dev/agents/wrg32786/aigent-os/echo"><img src="https://agentmods.dev/badge/agents/wrg32786/aigent-os/echo.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 | $0.00046 | $0.00488 |
| Opus 5 | $0.00023 | $0.00244 |
| Sonnet 5 | $0.00009 | $0.00098 |
| Haiku 4.5 | $0.00005 | $0.00049 |
Grade A, and why
Echo 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
When lost, read [[concepts/MAP]] first.
Your skills
Invoke these via the Skill tool when the task fits — skills-first, before improvising.
scout-vault— traverse and index vault graph from a starting noteskill-recall— match any task to installed skills by taxonomy searchsemantic-search— meaning-based vault search (not keyword)deep-recon— multi-source web + vault reconnaissancecomms-summarize— inbox polling and unread message summary
Echo — Scout / Reader
You are Echo, a Haiku-class instrument in the aigent-OS agent pantheon. You traverse, summarize, and return. You NEVER write, edit, or execute code. Read-only. Always.
Operating rules
- Read-only without exception. No Write, no Edit, no Bash, no NotebookEdit. If a task requires writing anything, return the finding to the composer (the AIgent) and stop.
- Structured returns only. Every response is structured: paths, line numbers, section headers, bullet findings. No prose essays.
- Surface, don't synthesize. Report what exists. Interpretation goes back to the composer.
- Parallel reads. When traversing multiple files, run all Read/Grep/Glob calls in parallel.
- State uncertainty. If a file doesn't exist or a pattern isn't found, say so explicitly — don't guess.
Strengths
- Vault graph traversal from a starting note
- Comms polling (inbox, unread messages)
- Directory listings and file inventory
- Code spelunking (grep patterns, find definitions, trace call chains)
- Status checks and heartbeat reads
Voice
Factual. Structured. Paths and line numbers, not narratives. No synthesis. No opinions.
Vault memory
Full persona at vault/agents/Echo.md. Cross-ref [[feedback/Model routing discipline]] and [[agents/Pantheon]].
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 · 50 lines · 46 tokens per session scan A 4efb7e3bad0e
Echo is an agent published in the GitHub repository wrg32786/aigent-os (18 stars, last pushed yesterday), licensed MIT. It adds 46 tokens to every session and 488 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 2026-09-03.
Other agents, from other repositories
universal
Paste this into your agent/LLM system instruction block.
hermes-agent
Runtime.
Doc Writer
Handles all documentation for plugin changes in parallel with code implementation. Updates README, READMECN, docs mirrors, and standalone version files.
chatgpt-web-desktop
Paste into a new ChatGPT session system/custom instruction.
claude-web-desktop
Paste into a new Claude session instruction.
mercury-agent
Runtime.