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 paulieb89/pinescript-mcp --skill pine-validategit clone --depth 1 https://github.com/paulieb89/pinescript-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/paulieb89/pinescript-mcp/pine-validate)<a href="https://agentmods.dev/skills/paulieb89/pinescript-mcp/pine-validate"><img src="https://agentmods.dev/badge/skills/paulieb89/pinescript-mcp/pine-validate/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/paulieb89/pinescript-mcp/pine-validate"><img src="https://agentmods.dev/badge/skills/paulieb89/pinescript-mcp/pine-validate.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 MCP Rug Pull · line 20 uvx/uv tool run commands without ==version create a rug-pull risk.Fix: Pin the version: uvx package-name==1.2.3
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 | $0.00171 | $0.01803 |
| Opus 5.5 | $0.00068 | $0.00721 |
| Sonnet 5.5 | $0.00034 | $0.00361 |
| Haiku 4.5 | $0.00017 | $0.00180 |
Grade A, and why
pine-validate 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 1mo 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 — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
pine-validate
Validate Pine Script v6 function references against the v6 allowlist. The
authoritative source of truth is the validate_function MCP tool on the
pinescript server. Never assert a function is valid from memory — always
check via the tool.
When to activate
- The user pastes a Pine Script snippet and asks "does this compile?", "is this valid Pine v6?", "check this for errors", or similar.
- The user asks about a single function: "is
ta.adxvalid?", "doessecurity()exist in v6?", "what replacedstudy()?". - The user asks to audit a script for hallucinated, renamed, or v5-era function references before running on TradingView.
Do not activate for general Pine Script authoring requests — that is the
pine skill's job. This skill is read-only validation.
Workflow (mandatory, in order)
Step 1: Parse the input and extract function references
From the user's input, extract every distinct function reference. A function reference is anything that looks like a call site:
<namespace>.<func>(— namespaced calls liketa.rsi(,strategy.entry(,request.security(,math.sum(.<func>(— top-level calls likeplot(,indicator(,input(.
Apply these filters when extracting:
- Ignore comments. Pine comments start with
//. Skip anything after//on a line. - Ignore string literals. Anything inside
"..."or'...'is not a call. - Ignore definitions. Skip user-defined function definitions of the form
myFunc(...) =>— those are declarations, not calls against the allowlist. - Deduplicate. Validate each unique name once, even if it appears many times in the snippet.
If the user provided only a bare function name (e.g. "is ta.adx valid?"),
treat that as a single reference to validate.
Step 2: Validate each reference via validate_function
For each unique function name extracted, call the MCP tool:
validate_function(fn_name="<name>")
The tool returns a ValidationResult object with:
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.
- 1mo ago First seen · 172 lines · 171 tokens per session scan A 73c76265a75c
pine-validate is a skill published in the GitHub repository paulieb89/pinescript-mcp (9 stars, last pushed 1mo ago), licensed MIT. It adds 171 tokens to every session and 1,803 once invoked, about $0.0007 per session on Opus 5.5. 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
a11y-debugging
Uses Chrome DevTools MCP for accessibility (a11y) debugging and auditing based on web.dev guidelines. Use when testing semantic HTML, ARIA labels, focus states, keyboard navigation, tap targets, and color contrast.
chrome-devtools
Uses Chrome DevTools via MCP for efficient debugging, troubleshooting and browser automation. Use when debugging web pages, automating browser interactions, analyzing performance, or inspecting network requests. This skill does not apply to --slim mode (MCP configuration).
n8n-error-handling
Wire n8n error handling so failures are loud, structured, and recoverable. Use when building any webhook/API workflow, a scheduled or unattended workflow, or any path where a silent failure would drop user-visible work — and whenever the user mentions error handling, onError, continueErrorOutput, error…
agentcore-investigation
Investigate Bedrock AgentCore runtime sessions via CloudWatch Logs Insights — resolve session/trace IDs, query OTEL spans, filter noise, build timelines. Use when debugging AgentCore agent sessions, tracing tool calls, or analyzing latency.
debug-optimize-lcp
Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions…
backtest-diagnose
Diagnose failed or underperforming backtests, locate the root cause, and fix the issue.