Echo Agent is a self-hosted, long-running AI agent that connects language models, tools, memory, permissions, and messaging channels in one system. Individuals and teams use it for private automation that retains context across sessions, develops skills, schedules tasks, and requires approval for high-risk actions.
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 skills add fuyuxiang/echo-agent --skill daily-briefinggit clone --depth 1 https://github.com/fuyuxiang/echo-agentWrote 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/fuyuxiang/echo-agent/daily-briefing)<a href="https://agentmods.dev/skills/fuyuxiang/echo-agent/daily-briefing"><img src="https://agentmods.dev/badge/skills/fuyuxiang/echo-agent/daily-briefing.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 16 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00025 | $0.00616 |
| Opus 5 | $0.00013 | $0.00308 |
| Sonnet 5 | $0.00005 | $0.00123 |
| Haiku 4.5 | $0.00003 | $0.00062 |
Grade A, and why
daily-briefing 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 8d 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
Daily Briefing
Generates a morning briefing combining weather, today's tasks, news headlines, and calendar events.
Configuration
Create ~/.echo-agent/briefing.yaml:
schedule: "0 8 * * *" # 每天早上8点
location: Beijing
sections:
- weather
- reminders
- rss
- calendar
rss_feeds:
- https://hnrss.org/frontpage
- https://arxiv.org/rss/cs.AI
max_news: 5
channel: telegram # delivery channel
Briefing Template
☀ 每日简报 — {date}
## 天气
{location}: {condition} {temp}°C, 湿度 {humidity}%
## 今日待办
- [ ] {reminder_1}
- [ ] {reminder_2}
## 新闻摘要
1. {title_1} — {source}
2. {title_2} — {source}
## 日程
- 09:00 {event_1}
- 14:00 {event_2}
Script Usage
# Generate briefing now
python3 scripts/generate_briefing.py
# Generate with custom config
python3 scripts/generate_briefing.py --config ~/.echo-agent/briefing.yaml
# Preview without sending
python3 scripts/generate_briefing.py --dry-run
Scheduling
Add to Echo Agent's cron channel for automatic daily delivery. The cron expression 0 8 * * * fires at 8:00 AM daily.
Create the job with the cronjob tool. If the briefing produces a file (e.g. a
voice version), deliver it inside the same run — for audio use
text_to_speech(..., deliver=true), for other files call send_file with the
target channel/chat. An unattended run may end right after generating the file,
so a "generate now, send later" split silently drops it.
After creating the job: confirm, then stop
When cronjob(action="create") returns, send the user ONE confirmation — job id,
schedule, next fire time — and end the turn. Do NOT "verify delivery" by reading
gateway/server.py / a2a/server.py or curling internal endpoints
(/v1/chat, /api/v1/message); that is not a delivery test, it just burns the
turn and leaves the user without a reply. To sanity-check, use
cronjob(action="list"); the scheduled fire is the real delivery.
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.
- 8d ago First seen · 85 lines · 25 tokens per session scan A 945bf3d6038b
daily-briefing is a skill published in the GitHub repository fuyuxiang/echo-agent (1,056 stars, last pushed 6d ago), licensed MIT. It adds 25 tokens to every session and 616 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
dingtalk-message
A tool for sending DingTalk messages through either a group Webhook robot or an internal enterprise robot. DingTalk is a workplace messaging platform.
kungfu-agent-onboarding
Use when a user asks to understand, start, inspect, extend, or safely operate installed Kungfu; verify the installed pack, select one intent route, personalize the explanation, and propose one smallest safe next action.
[object Object]
Read, search, and open notes in the user's "{{GRAPHNAME}}" Reflect graph via the reflect CLI. Use when the user asks about their notes, daily notes, journal, or anything they may have written down in Reflect.
memory-safety-c-cpp
Reference vocabulary for memory-safety vulnerabilities in native C/C++ code — bug-class taxonomy, common arithmetic patterns that lead to corruption, dispatch-family discipline, type-confusion idioms, use-after-free patterns, and exploitability factors. Read when analyzing, hypothesizing, designing harnesses for, or…
openlore
Query and publish to an OpenLore knowledge base over SSH using ordinary shell commands. Use when a task needs project documentation, runbooks, shared team knowledge, or a place to publish findings.
openlore-housekeeping
Audit and maintain a shared OpenLore knowledge base. Use on a schedule or on request to find stale docs, broken links, unreviewed inbox items, and missing skill coverage, then publish an audit report.