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 Bhala-Srinivash/nse-trading-skills --skill fibonacci-tradinggit clone --depth 1 https://github.com/Bhala-Srinivash/nse-trading-skillsWrote 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/bhala-srinivash/nse-trading-skills/fibonacci-trading)<a href="https://agentmods.dev/skills/bhala-srinivash/nse-trading-skills/fibonacci-trading"><img src="https://agentmods.dev/badge/skills/bhala-srinivash/nse-trading-skills/fibonacci-trading/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/bhala-srinivash/nse-trading-skills/fibonacci-trading"><img src="https://agentmods.dev/badge/skills/bhala-srinivash/nse-trading-skills/fibonacci-trading.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 | $0.00101 | $0.01152 |
| Opus 5 | $0.00051 | $0.00576 |
| Sonnet 5 | $0.00020 | $0.00230 |
| Haiku 4.5 | $0.00010 | $0.00115 |
Grade A, and why
fibonacci-trading 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fibonacci Trading
Fibonacci levels identify high-probability zones where price tends to react — for entries on pullbacks and targets on extensions.
Prerequisites
No dependencies required. Just provide a swing high and swing low price — Claude calculates all Fib levels instantly. Enhanced with Groww MCP (auto-identifies swings from candles) or yfinance.
Data Needed
- Swing high and swing low: From
fetch_historical_candle_dataor user-provided prices - Current price:
get_quotes_and_depthfrom Groww, or user-provided - For precise calculation, you can compute in Python:
diff = swing_high - swing_low levels = { "23.6%": swing_high - diff * 0.236, "38.2%": swing_high - diff * 0.382, "50.0%": swing_high - diff * 0.500, "61.8%": swing_high - diff * 0.618, "78.6%": swing_high - diff * 0.786, }
Retracement Levels (Entry Zones)
After a significant move up, price often pulls back to these levels before continuing:
| Level | Character | Trading Implication |
|---|---|---|
| 23.6% | Shallow pullback | Strong trend — buyers eager, enter aggressively |
| 38.2% | Normal pullback | Healthy trend — standard entry zone |
| 50.0% | Deep pullback | Trend weakening but viable — enter with caution |
| 61.8% | Golden ratio | Last stand for the trend — high reward if it holds |
| 78.6% | Very deep | Trend likely failed — avoid or use tight stop |
For downtrend retracements (price bouncing up):
Same levels but inverted — measure from swing high down to swing low.
Extension Levels (Profit Targets)
After a retracement completes and price resumes the trend:
| Level | Use |
|---|---|
| 100% | Measured move — equal to the prior swing |
| 127.2% | Conservative target — good for partial profit |
| 161.8% | Standard target — most common for swing trades |
| 200.0% | Extended target — for strong trends |
| 261.8% | Full extension — rare, only in powerful moves |
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.
- 12d ago First seen · 105 lines · 101 tokens per session scan A 57f8c745ac55
fibonacci-trading is a skill published in the GitHub repository Bhala-Srinivash/nse-trading-skills (38 stars, last pushed 6mo ago), licensed MIT. It adds 101 tokens to every session and 1,152 once invoked, about $0.0005 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 2026-08-30.
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