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 agentmods add commands/nutdnuy/sec-opendata-th/sec-navgit clone --depth 1 https://github.com/nutdnuy/sec-opendata-thWrote 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/commands/nutdnuy/sec-opendata-th/sec-nav)<a href="https://agentmods.dev/commands/nutdnuy/sec-opendata-th/sec-nav"><img src="https://agentmods.dev/badge/commands/nutdnuy/sec-opendata-th/sec-nav.svg" alt="Measured on agentmods" 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 | $0.00013 | $0.00195 |
| Opus 5 | $0.00006 | $0.00097 |
| Sonnet 5 | $0.00003 | $0.00039 |
| Haiku 4.5 | $0.00001 | $0.00019 |
Grade A, and why
sec-nav 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 5d 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.
What it actually says
Fetch daily NAV from the SEC FundDailyInfo API.
Arguments $ARGUMENTS: first token is the fund proj_id, optional second token
is the NAV date (YYYY-MM-DD, defaults to today).
Run:
cd "${CLAUDE_PLUGIN_ROOT}" && python3 -m secopendata nav --proj-id "$1" --date "$2"
Then report the NAV value(s) per share class in a short table. A null NAV
means the market was closed or no data exists for that date — state that rather
than treating it as an error. If you don't know the proj_id, run /sec-funds
for the relevant AMC first.
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.
- 5d ago First seen · 22 lines · 13 tokens per session scan A a812df17b7e3
sec-nav is a command published in the GitHub repository nutdnuy/sec-opendata-th (8 stars, last pushed 1mo ago), licensed MIT. It adds 13 tokens to every session and 195 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 2026-08-31.
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