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 commands/joncovington/meicagent/dashboardgit clone --depth 1 https://github.com/joncovington/MEICAgentWhat 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 | $0.00000 | $0.00230 |
| Opus 5 | $0.00000 | $0.00115 |
| Sonnet 5 | $0.00000 | $0.00046 |
| Haiku 4.5 | $0.00000 | $0.00023 |
Grade A, and why
dashboard 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
Launch the MEICAgent intraday dashboard.
Step 1 — Check if already running
python -c "import socket; s=socket.socket(); r=s.connect_ex(('127.0.0.1',5050)); s.close(); print('running' if r==0 else 'not_running')"
Step 2a — Already running
If output is running: open the browser and tell the user the dashboard is already running.
start http://localhost:5050
Tell the user: "Dashboard already running — opening browser at http://localhost:5050"
Step 2b — Not running
If output is not_running: start the server as a hidden background process, then open the browser.
Start-Process python -ArgumentList 'dashboard.py' -WorkingDirectory $PWD -WindowStyle Hidden
Wait 1 second, then open browser:
start http://localhost:5050
Tell the user: "Dashboard started at http://localhost:5050 · auto-refreshes every 30 s"
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 · 32 lines · 0 tokens per session scan A 2d46d12f7031
dashboard is a command published in the GitHub repository joncovington/MEICAgent (4 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 230 tokens. 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 2026-08-31.
Other commands, from other repositories
scan
Universal scan — auto-detects asset class (stock / crypto / index / FX / commodity) and runs the matching protocol. With no args, regenerates scanned/INDEX.md.
ingest
Ingest new framework knowledge into docs/ and recalibrate guide/. The ONLY command authorized to write inside docs/.
rescan
Refresh existing scan, rotating prior snapshot to archive/. Args: or "macro.
scan-earnings
Earnings setup analysis for ticker. 8-point checklist + pre-print read.
help
Show available commands for this app.
discover
Run a Finviz screener aligned with the framework + current macro regime. Saves a dated candidate list to scanned/SCREENS/.