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 AlgoChains/algochains-mcp-server --skill signal-healthgit clone --depth 1 https://github.com/AlgoChains/algochains-mcp-serverWrote 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/algochains/algochains-mcp-server/signal-health)<a href="https://agentmods.dev/skills/algochains/algochains-mcp-server/signal-health"><img src="https://agentmods.dev/badge/skills/algochains/algochains-mcp-server/signal-health/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/algochains/algochains-mcp-server/signal-health"><img src="https://agentmods.dev/badge/skills/algochains/algochains-mcp-server/signal-health.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 | $0.00000 | $0.00337 |
| Opus 5 | $0.00000 | $0.00169 |
| Sonnet 5 | $0.00000 | $0.00067 |
| Haiku 4.5 | $0.00000 | $0.00034 |
Grade A, and why
signal-health 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 11d 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
signal-health
Tier: 0 (safe, read-only)
Trigger: Every 30 min during market hours
MCP Tool: run_algoclaw_skill("signal-health")
Source Pattern: freqtrade LowProfitPairs + bot log analysis
What It Does
Checks whether bots are generating signals and identifies instruments in a bad regime. Implements LowProfitPairs logic: instruments with < min_profit in rolling window get flagged.
Steps
- Scan bot logs for signal events in last 60 minutes
- Check
LowProfitPairsstatus: any instrument below profit threshold? - Check
StoplossGuardlocks: any instruments currently locked? - Check
CooldownPeriod: any instruments in cooldown? - Return unified signal health report
Output
{
"market_hours": true,
"bots": {
"MNQ": {
"signals_1h": 3,
"last_signal_ago_min": 12,
"status": "healthy",
"low_profit_flag": false,
"locked": false,
"in_cooldown": false
},
"CL": {
"signals_1h": 0,
"last_signal_ago_min": 47,
"status": "DEGRADED",
"low_profit_flag": true,
"low_profit_note": "CL: $-45 in last 24h (threshold: +$0)"
}
},
"alerts": ["CL: no signals in 47 min during market hours — investigate"]
}
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.
- 11d ago First seen · 46 lines · 0 tokens per session scan A fa37579b336f
signal-health is a skill published in the GitHub repository AlgoChains/algochains-mcp-server (1 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 337 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.
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