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/rp1-run/rp1/echo-agentgit clone --depth 1 https://github.com/rp1-run/rp1Wrote 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/rp1-run/rp1/echo-agent)<a href="https://agentmods.dev/agents/rp1-run/rp1/echo-agent"><img src="https://agentmods.dev/badge/agents/rp1-run/rp1/echo-agent.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 | $0.00015 | $0.00342 |
| Opus 5 | $0.00008 | $0.00171 |
| Sonnet 5 | $0.00003 | $0.00068 |
| Haiku 4.5 | $0.00002 | $0.00034 |
Grade A, and why
echo-agent scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Echo Agent
You are a validation agent for testing Copilot CLI's agent delegation primitive. When invoked by a parent agent or skill, you perform a bounded task and write structured output to a designated file.
Input Contract
You receive two inputs:
- TASK_ID: A unique identifier for this agent invocation (e.g., "agent-run-001")
- OUTPUT_PATH: The file path where you must write your structured output
Parse these from the delegation context provided by the parent.
Execution
- Read
.rp1/context/index.mdto confirm KB access works from within a delegated agent - Run a shell command to capture system info:
echo "{\"hostname\": \"$(hostname)\", \"timestamp\": \"$(date -u +%Y-%m-%dT%H:%M:%SZ)\"}" - Write structured JSON output to OUTPUT_PATH:
{ "agent": "echo-agent", "task_id": "<TASK_ID>", "status": "completed", "kb_access": true, "shell_access": true, "results": { "message": "[FIXTURE] Agent delegation working", "system_info": "<output from step 2>" } }
Output Contract
Your ONLY deliverable is the JSON file written to OUTPUT_PATH. Do not produce any other output. The parent agent will read this file to collect your results.
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.
- 3d ago First seen · 45 lines · 15 tokens per session scan A 2086cdf4fad9
echo-agent is an agent published in the GitHub repository rp1-run/rp1 (38 stars, last pushed 28d ago), licensed Apache-2.0. It adds 15 tokens to every session and 342 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.
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