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 stoploss-guardgit 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/stoploss-guard)<a href="https://agentmods.dev/skills/algochains/algochains-mcp-server/stoploss-guard"><img src="https://agentmods.dev/badge/skills/algochains/algochains-mcp-server/stoploss-guard/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/stoploss-guard"><img src="https://agentmods.dev/badge/skills/algochains/algochains-mcp-server/stoploss-guard.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 | $0.00353 |
| Opus 5 | $0.00000 | $0.00177 |
| Sonnet 5 | $0.00000 | $0.00071 |
| Haiku 4.5 | $0.00000 | $0.00035 |
Grade A, and why
stoploss-guard 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
stoploss-guard
Tier: 0 (safe, read-only check; Tier 1 for lock actions)
Trigger: After every stoploss event; pre-trade check
MCP Tool: run_algoclaw_skill("stoploss-guard", {"bot":"MNQ","symbol":"MNQ","action":"check"})
Source Pattern: freqtrade StoplossGuard
What It Does
Tracks stoploss events per bot/symbol and locks the instrument when N stops occur in X hours. Prevents cascading losses from repeated stop-outs in a bad regime.
Actions
| Action | Description |
|---|---|
check |
Check if instrument is currently locked by StoplossGuard |
record |
Record a new stoploss event (call after every stop) |
status |
Full StoplossGuard status for all bots/symbols |
Default Config
- 3 stops in 4 hours → lock instrument for 2 hours
- Configurable via
window_hours,stoploss_count,lock_hoursparams
Output (check)
{
"symbol": "MNQ", "bot": "MNQ",
"locked": true,
"lock_reason": "StoplossGuard: 3 stops in 4h window",
"locked_until": "2026-04-08T16:30:00Z",
"stop_events_in_window": 3
}
Alert
When lock triggers: ntfy high + Slack #incident-response:
⚠️ StoplossGuard: MNQ locked 2h — 3 stops in 4h window
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 · 42 lines · 0 tokens per session scan A 001c3f690231
stoploss-guard is a skill published in the GitHub repository AlgoChains/algochains-mcp-server (1 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 353 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 skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
chenhao-limit-up
A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.
trading-risk-gate
Unified pre-trade safety gate: Ruin check (Law #1), ergodicity audit, and win-rate dominance validation. Absorbs: ergodicity-check, law-of-ruin, win-rate-dominance.
vectorbt
High-performance vectorized backtesting with parameter optimization, portfolio simulation, and rich performance metrics.