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 prop-fund-checkgit 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/prop-fund-check)<a href="https://agentmods.dev/skills/algochains/algochains-mcp-server/prop-fund-check"><img src="https://agentmods.dev/badge/skills/algochains/algochains-mcp-server/prop-fund-check/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/prop-fund-check"><img src="https://agentmods.dev/badge/skills/algochains/algochains-mcp-server/prop-fund-check.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 | $0.00488 |
| Opus 5 | $0.00000 | $0.00244 |
| Sonnet 5 | $0.00000 | $0.00098 |
| Haiku 4.5 | $0.00000 | $0.00049 |
Grade A, and why
prop-fund-check 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 9d 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
prop-fund-check
Tier: 2 (prop fund pipeline)
Trigger: Every 30 min during market hours (9:30–16:00 ET, Mon–Fri)
MCP Tool: run_algoclaw_skill("prop-fund-check")
What It Does
Checks all registered prop fund evaluation accounts against their fund rules. Sends ntfy + Slack alerts at 70%/85%/95% of daily loss limits. Emergency flattens all positions at 95%.
Steps
- Call
get_prop_fund_monitor_status()— get all registered accounts - For each active account, call
run_prop_fund_check(account_id) - Parse alert tiers: daily loss utilization + trailing drawdown utilization
- If any account at > 70% daily limit → post to #incident-response
- If any account at > 95% daily limit → emergency flatten + escalate to owner
- Log result to
algoclaw/state/prop_fund_checks.jsonl
Output Format
{
"checked_at": "2026-04-08T14:30:00Z",
"accounts": [
{
"account_id": "ABC123",
"fund": "apex",
"status": "active",
"daily_pnl": -450,
"daily_limit": -2500,
"daily_utilization_pct": 18.0,
"trailing_dd": 800,
"trailing_limit": 3000,
"trailing_utilization_pct": 26.7,
"days_traded": 7,
"min_days_required": 10,
"profit": 1200,
"profit_target": 3000,
"profit_pct": 40.0,
"alerts": []
}
],
"overall_safe": true
}
Alert Thresholds
| Utilization | Action |
|---|---|
| < 70% | Silent (log only) |
| 70–85% | ⚠️ ntfy warn + Slack #quant-lab |
| 85–95% | 🚨 ntfy high + Slack #incident-response |
| ≥ 95% | 🔴 EMERGENCY FLATTEN + owner alert |
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.
- 9d ago First seen · 58 lines · 0 tokens per session scan A d0f4bbe2aec6
prop-fund-check is a skill published in the GitHub repository AlgoChains/algochains-mcp-server (1 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 488 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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