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 Signal-Execution-Labs/forex-trading-ai-agent --skill task-schedulergit clone --depth 1 https://github.com/Signal-Execution-Labs/forex-trading-ai-agentWrote 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/signal-execution-labs/forex-trading-ai-agent/task-scheduler)<a href="https://agentmods.dev/skills/signal-execution-labs/forex-trading-ai-agent/task-scheduler"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/task-scheduler/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/signal-execution-labs/forex-trading-ai-agent/task-scheduler"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/task-scheduler.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 234 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00027 | $0.01377 |
| Opus 5 | $0.00014 | $0.00688 |
| Sonnet 5 | $0.00005 | $0.00275 |
| Haiku 4.5 | $0.00003 | $0.00138 |
Grade A, and why
task-scheduler 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- task-scheduler — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Task Scheduler
Automatisiere wiederkehrende Trading-Aufgaben mit K.I.T.
Overview
- DCA (Dollar Cost Averaging) - Automatische regelmäßige Käufe
- Rebalancing - Portfolio automatisch ausbalancieren
- Reports - Tägliche/wöchentliche Berichte
- Alerts - Regelmäßige Preis-/Portfolio-Checks
🤖 AUTO-PILOT MODE
// ~/.kit/config/scheduler.json
{
"auto_pilot": {
"enabled": true,
"timezone": "Europe/Berlin",
"tasks": {
"dca": {
"enabled": true,
"default_frequency": "weekly"
},
"rebalance": {
"enabled": true,
"check_frequency": "daily",
"deviation_threshold_pct": 5
},
"reports": {
"daily_summary": true,
"weekly_performance": true,
"send_to": ["telegram"]
}
}
}
}
Task Types
| Type | Description | Frequencies |
|---|---|---|
dca |
Dollar Cost Averaging | hourly, daily, weekly, monthly |
rebalance |
Portfolio Rebalancing | daily, weekly |
report |
Generate Reports | daily, weekly, monthly |
alert-check |
Check Alert Conditions | hourly, custom |
price-check |
Monitor Prices | continuous |
custom |
User-defined Actions | any |
Commands
Create DCA Task
# Via K.I.T. CLI (wenn implementiert)
kit scheduler create-dca \
--name "Weekly BTC Buy" \
--symbol BTC/USDT \
--amount 100 \
--frequency weekly \
--day monday \
--time 09:00
Create Rebalance Task
kit scheduler create-rebalance \
--name "Monthly Rebalance" \
--frequency monthly \
--threshold 5 \
--targets "BTC:50,ETH:30,USDC:20"
Create Report Task
kit scheduler create-report \
--name "Daily Summary" \
--type daily \
--frequency daily \
--time 20:00 \
--send-to telegram
List Tasks
kit scheduler list
kit scheduler list --type dca
kit scheduler list --enabled
Enable/Disable Task
kit scheduler enable <task-id>
kit scheduler disable <task-id>
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 248 lines · 27 tokens per session scan A 163520a32c8b
task-scheduler is a skill published in the GitHub repository Signal-Execution-Labs/forex-trading-ai-agent (136 stars, last pushed 8d ago), licensed MIT. It adds 27 tokens to every session and 1,377 once invoked, about $0.0001 per session on Opus 5. 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 2026-09-03.
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