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 shahparthiv/chartink-mcp --skill chartink-querygit clone --depth 1 https://github.com/shahparthiv/chartink-mcpWrote 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/shahparthiv/chartink-mcp/chartink-query)<a href="https://agentmods.dev/skills/shahparthiv/chartink-mcp/chartink-query"><img src="https://agentmods.dev/badge/skills/shahparthiv/chartink-mcp/chartink-query/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/shahparthiv/chartink-mcp/chartink-query"><img src="https://agentmods.dev/badge/skills/shahparthiv/chartink-mcp/chartink-query.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 | $0.00212 | $0.01915 |
| Opus 5 | $0.00106 | $0.00958 |
| Sonnet 5 | $0.00042 | $0.00383 |
| Haiku 4.5 | $0.00021 | $0.00192 |
Grade A, and why
chartink-query 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.
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Chartink Query Builder
Generate valid Chartink scan_clause strings from a plain-English description of what to screen for, then (optionally) validate and run them via the chartink MCP server.
What a Chartink scan_clause looks like
A scan clause is a single string with this overall shape:
( {segment} ( <condition> [and|or <condition>] ... ) )
- The outer
( ... )and{segment}are mandatory. Default segment is{cash}(all NSE cash stocks). - Conditions are joined with lowercase
and/or. Group with extra nested parentheses to control precedence. - Every token is lowercase. Spaces around operators, commas, and parentheses are expected — write
sma( latest close , 50 ), notsma(latest close,50).
A condition is built as:
[timeframe] [attribute-or-indicator] [comparison-operator] [timeframe] [value-or-indicator]
Examples:
( {cash} ( latest close > latest sma( latest close , 50 ) ) )
( {cash} ( latest rsi( 14 ) > 60 and latest close > 1 day ago close ) )
( {cash} ( latest close > latest open and latest volume > latest sma( latest volume , 20 ) and latest close > 50 ) )
Always output BOTH forms
Every time you produce a query, give the user two versions side by side:
- MCP / API form (
run_screenerscan_clause) — the fully wrapped string including segment:( {cash} ( latest close > latest sma( latest close , 50 ) ) ) - Chartink.com form (paste into the Scan conditions box at chartink.com/screener) — the inner conditions only, no outer
( {cash} ( ... ) )wrapper, since the segment is chosen from the page's dropdown:
Also state which segment dropdown to select (e.g. "Cash" forlatest close > latest sma( latest close , 50 ){cash}, "Intraday" for an intraday timeframe).
The two are the same conditions — the only difference is that the MCP form wraps them in ( {segment} ( ... ) ) and the website supplies the segment via its UI. Label each clearly so the user knows which to use where.
What ships with it
2 files 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.
- 9d ago First seen · 96 lines · 212 tokens per session scan A ee4fb9d4b7ff
chartink-query is a skill published in the GitHub repository shahparthiv/chartink-mcp (3 stars, last pushed 2mo ago), licensed MIT. It adds 212 tokens to every session and 1,915 once invoked, about $0.0011 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 2026-08-31.
Other skills, from other repositories
weekly-fno-trade-planner
Weekly F&O trade planning skill for Indian markets. Analyzes news/macro events, identifies trending sectors and instruments, determines probable direction, suggests option strategy with entry/exit levels, and manages stop-loss and profit booking after position entry. Use when user wants a weekly trade idea, F&O…
india-news-tracker
Track and analyze Indian stock market news, corporate announcements, SEBI circulars, bulk/block deals, and earnings calendars. Auto-fetches headlines from MoneyControl, Economic Times, LiveMint, BSE/NSE filings. Use when the user asks about recent news, corporate actions, upcoming events, or wants a daily market news…
india-stock-analysis
Use when user requests analysis of Indian stocks, fundamental assessment, technical review, comparisons, or investment reports for NSE/BSE listed companies.
options-strategy-advisor
Options strategy analysis for Indian F&O markets (NSE). Use when user requests options strategy recommendations, P/L analysis, Greeks calculation, risk management, or F&O strategy planning for Nifty, Bank Nifty, or stock options.
india-market-breadth
Analyze Indian market breadth health using advance/decline data, stocks above moving averages, new highs/lows, and sector participation. Use when assessing rally quality, market participation width, or equity exposure levels for NSE/BSE.
backtest-expert
Expert guidance for systematic backtesting of trading strategies on Indian markets (NSE/BSE). Use when developing strategies, testing robustness, avoiding overfitting, or validating trading ideas.