A tool for retrieving public-company filings and financial data from SEC EDGAR, the U.S. Securities and Exchange Commission’s public database. It covers company information, filings, financial statements, XBRL facts, insider trades, holdings, and material events.

Use it to look up U.S. public-company filings, reported financial facts, insider transactions, institutional holdings, and significant company events.

Finding the right filing or financial dataset and using the correct request fields can be tedious. It guides the selection of the relevant data source and the parameters needed for the query.

sec_edgar — Skill for Claude Code and Codex by serejaris

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo

git clone --depth 1 https://github.com/serejaris/kimi-skills

agentmods

npx agentmods add skills/serejaris/kimi-skills/sec_edgar

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/serejaris/kimi-skills/sec_edgar/github.svg)](https://agentmods.dev/skills/serejaris/kimi-skills/sec_edgar)

Your own site

<a href="https://agentmods.dev/skills/serejaris/kimi-skills/sec_edgar"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/sec_edgar/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/serejaris/kimi-skills/sec_edgar"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/sec_edgar.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 768 The whole file, excluding the scripts and references it only reads on demand.

Security scan C 2 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00042	$0.00768
Opus 5	$0.00021	$0.00384
Sonnet 5	$0.00008	$0.00154
Haiku 4.5	$0.00004	$0.00077

Measured 11d ago against content hash fd4cf8fbe9df, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade C, and why

sec_edgar scanned grade C with 2 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 11d 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.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

python3 -c "import agent_gw" || python3 -m pip install "$(curl -s https://cdn.kimi.com/agentgw/pysdk/manifest.json | python3 -c "import json,sys; print(json.load(sys.stdin)['latest']['url'])")"

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

python3 -c "import agent_gw" || python3 -m pip install "$(curl -s https://cdn.kimi.com/agentgw/pysdk/manifest.json | python3 -c "import json,sys; print(json.load(sys.stdin)['latest']['url'])")"

plugin-skills/sec_edgar/SKILL.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SEC EDGAR

Use this skill to answer questions that require SEC EDGAR public company filing or financial data.

Setup

Check whether the agent-gw Python SDK is available in the current Python environment, and install it only if the check fails:

python3 -c "import agent_gw" || python3 -m pip install "$(curl -s https://cdn.kimi.com/agentgw/pysdk/manifest.json | python3 -c "import json,sys; print(json.load(sys.stdin)['latest']['url'])")"

The SDK needs an API key from api_key=..., KIMI_API_KEY, or ~/.kimi/agent-gw.json.

Workflow

Run python3 scripts/sec_edgar_tool.py describe from the plugin directory to call get_data_source_desc({"name": "sec_edgar"}).
Read the returned Markdown carefully. It contains the overall data source rules, SEC company and filing formats, global constraints, and each API's description, required parameters, optional parameters, defaults, and allowed values.
Select the API that best matches the user's question, such as company info, filings, XBRL facts, financial statements, insider trades, institutional holdings, or material company events.
Build params exactly from the Markdown requirements. Use documented company, ticker, CIK, form type, period, date, accession number, and pagination fields only when the API supports them.
Use python3 scripts/sec_edgar_tool.py call to call call_data_source_tool.
If the call fails, explain the failure reason from the response.
If the call succeeds, save any returned files first, then answer using resp.result.assistant; ignore resp.result.user unless display content is specifically needed.

Script

Use the bundled script from the plugin directory:

python3 scripts/sec_edgar_tool.py describe

After reading the Markdown and selecting an API:

python3 scripts/sec_edgar_tool.py call \
  --api-name "<api name from markdown>" \
  --params-json '{"required_param":"value"}'

For larger params, write a JSON object and pass --params-file path/to/params.json.

Read the full file on GitHub · 84 lines

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.

11d ago First seen · 84 lines · 42 tokens per session scan C fd4cf8fbe9df

Subscribe to this mod's changes

sec_edgar is a skill published in the GitHub repository serejaris/kimi-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 42 tokens to every session and 768 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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sec_edgar