sec-opendata-th copilot-instructions.md

sec-opendata-th copilot-instructions.md is an instructions file for GitHub Copilot from nutdnuy/sec-opendata-th. It costs 425 tokens per session, scanned A, original, MIT.

A project instruction guide for sec-opendata-th, a Python client and command-line tool for Thailand’s SEC public financial-data service. It describes endpoint coverage, credentials, pagination, name search, and testing rules.

In plain words
What is it for?
Use it when adding or testing API requests, CLI commands, cursor-based pagination, fund or company name searches, or configuration changes.
Why use it?
It prevents accidental narrowing of the client, hard-coded subscription keys, and missed behavior when working with versioned APIs.

Instructions file for GitHub Copilot

Install

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.

agentmods
npx agentmods add instructions/nutdnuy/sec-opendata-th/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/nutdnuy/sec-opendata-th

Made for: GitHub Copilot.

Wrote 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.

agentmods badge for sec-opendata-th copilot-instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/nutdnuy/sec-opendata-th/copilot-instructions.svg)](https://agentmods.dev/instructions/nutdnuy/sec-opendata-th/copilot-instructions)
Your own site
<a href="https://agentmods.dev/instructions/nutdnuy/sec-opendata-th/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/nutdnuy/sec-opendata-th/copilot-instructions.svg" alt="Measured on agentmods" height="20"></a>
Per session 425 This file is loaded in full into every session.
When invoked 425 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00425 $0.00425
Opus 5 $0.00212 $0.00212
Sonnet 5 $0.00085 $0.00085
Haiku 4.5 $0.00042 $0.00042

Measured 4d ago against content hash 6cc22fd2f5da, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

sec-opendata-th copilot-instructions.md 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 4d 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.

.github/copilot-instructions.md · 37 lines

What it actually says

GitHub Copilot Instructions

This repo implements sec-opendata-th, a Python client/CLI plus agent plugin for SEC Open Data Thailand.

Intent

Support every SEC Open Data portal category through generic /v1 requests: digital assets, funds, Licence Check, One Report, provident funds, debt, equity, ESG, capital-market operators/professionals, investors, and future categories. Also support v2 cursor-paginated endpoints, especially /v2/fund/... and /v2/bond/....

Development Rules

  • Keep generic endpoint coverage centered on SECClient.request() and the secopendata request CLI command.
  • Do not narrow behavior back to only FundFactsheet or FundDailyInfo.
  • Never hard-code or commit SEC subscription keys.
  • Key scopes map to environment variables such as SEC_ONE_REPORT_KEY and SEC_DIGITAL_ASSET_KEY, SEC_FUND_KEY, SEC_BOND_KEY, and SEC_PVD_KEY.
  • Add tests for request path inference, GET/POST behavior, and CLI changes.
  • Use --cursor-paginate for v2 endpoints returning next_cursor and items.
  • Prefer .venv/bin/python -m pytest -q for verification.
  • Resolve fund/AMC names with the bundled offline amc-search and fund-search commands before making a live request.

Useful Commands

.venv/bin/python -m pytest -q
.venv/bin/python -m secopendata categories
.venv/bin/python -m secopendata fund-search "K-CHANGE" --status Registered
.venv/bin/python -m secopendata request --method GET --path /v1/one-report/fs/2021/financial_statement/C0000000013
.venv/bin/python -m secopendata request --method GET --path /v2/fund/factsheet/performance --cursor-paginate
Changes

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.

  1. 4d ago First seen · 37 lines · 425 tokens per session scan A 6cc22fd2f5da

Subscribe to this mod's changes

sec-opendata-th copilot-instructions.md is an instructions file published in the GitHub repository nutdnuy/sec-opendata-th (8 stars, last pushed 1mo ago), licensed MIT. It adds 425 tokens to every session, about $0.0021 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.

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