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 gongyijie85/dsh-ecc --skill autonomous-agent-harnessgit clone --depth 1 https://github.com/gongyijie85/dsh-eccWrote 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/gongyijie85/dsh-ecc/autonomous-agent-harness)<a href="https://agentmods.dev/skills/gongyijie85/dsh-ecc/autonomous-agent-harness"><img src="https://agentmods.dev/badge/skills/gongyijie85/dsh-ecc/autonomous-agent-harness/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/gongyijie85/dsh-ecc/autonomous-agent-harness"><img src="https://agentmods.dev/badge/skills/gongyijie85/dsh-ecc/autonomous-agent-harness.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00079 | $0.02270 |
| Opus 5 | $0.00039 | $0.01135 |
| Sonnet 5 | $0.00016 | $0.00454 |
| Haiku 4.5 | $0.00008 | $0.00227 |
Grade A, and why
autonomous-agent-harness scanned grade A with 1 finding 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 10d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST "https://api.anthropic.com/dispatch" \ This is a copy
95% identical to autonomous-agent-harness — 30 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 275 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Autonomous Agent Harness
Turn Claude Code into a persistent, self-directing agent system using only native features and MCP servers.
Consent and Safety Boundaries
Autonomous operation must be explicitly requested and scoped by the user. Do not create schedules, dispatch remote agents, write persistent memory, use computer control, post externally, modify third-party resources, or act on private communications unless the user has approved that capability and the target workspace for the current setup.
Prefer dry-run plans and local queue files before enabling recurring or event-driven actions. Keep credentials, private workspace exports, personal datasets, and account-specific automations out of reusable ECC artifacts.
When to Activate
- User wants an agent that runs continuously or on a schedule
- Setting up automated workflows that trigger periodically
- Building a personal AI assistant that remembers context across sessions
- User says "run this every day", "check on this regularly", "keep monitoring"
- Wants to replicate functionality from Hermes, AutoGPT, or similar autonomous agent frameworks
- Needs computer use combined with scheduled execution
Architecture
┌──────────────────────────────────────────────────────────────┐
│ Claude Code Runtime │
│ │
│ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌─────────────┐ │
│ │ Crons │ │ Dispatch │ │ Memory │ │ Computer │ │
│ │ Schedule │ │ Remote │ │ Store │ │ Use │ │
│ │ Tasks │ │ Agents │ │ │ │ │ │
│ └────┬─────┘ └────┬─────┘ └────┬─────┘ └──────┬──────┘ │
│ │ │ │ │ │
│ ▼ ▼ ▼ ▼ │
│ ┌──────────────────────────────────────────────────────┐ │
│ │ ECC Skill + Agent Layer │ │
│ │ │ │
│ │ skills/ agents/ commands/ hooks/ │ │
│ └──────────────────────────────────────────────────────┘ │
│ │ │ │ │ │
│ ▼ ▼ ▼ ▼ │
│ ┌──────────────────────────────────────────────────────┐ │
│ │ MCP Server Layer │ │
│ │ │ │
│ │ memory github exa supabase browser-use │ │
│ └──────────────────────────────────────────────────────┘ │
└──────────────────────────────────────────────────────────────┘
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.
- 10d ago First seen · 275 lines · 79 tokens per session scan A 4de9a47cdeb0
autonomous-agent-harness is a skill published in the GitHub repository gongyijie85/dsh-ecc (7 stars, last pushed 3d ago), licensed MIT. It adds 79 tokens to every session and 2,270 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 95% identical to autonomous-agent-harness, differing in 30 lines, and is treated as a copy.
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