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 OneWave-AI/claude-skills --skill sec-filing-pullergit clone --depth 1 https://github.com/OneWave-AI/claude-skillsWrote 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/onewave-ai/claude-skills/sec-filing-puller)<a href="https://agentmods.dev/skills/onewave-ai/claude-skills/sec-filing-puller"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/sec-filing-puller/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/onewave-ai/claude-skills/sec-filing-puller"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/sec-filing-puller.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 | $0.00198 | $0.02032 |
| Opus 5.5 | $0.00079 | $0.00813 |
| Sonnet 5.5 | $0.00040 | $0.00406 |
| Haiku 4.5 | $0.00020 | $0.00203 |
Grade A, and why
sec-filing-puller 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 23d 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 — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEC Filing Puller
Analysts lose a day prompting for 10-K numbers and still distrust the result. Models get these numbers wrong in predictable ways: they mix fiscal years, blend restated and originally reported figures, confuse quarterly with YTD or TTM, and slip on units. Do not recall financials from memory and do not scrape them from websites. Run the scripts. They read SEC's structured data and attach a filing citation to every number. Spend your own effort on judgment: whether the periods line up, whether the definitions match, and what the XBRL cannot tell you.
Setup (once)
SEC requires a declared User-Agent with contact info. Without one, requests get HTTP 403. Ask the user for their name/company and email if you don't have them, then run:
export SEC_USER_AGENT="Acme Research [email protected]" # the user's own contact, never a made-up one
pip install pandas # the only dependency; everything else is stdlib
The scripts stay under SEC's 10 requests/second limit and cache responses in ~/.cache/sec-filing-puller (override with SEC_CACHE_DIR, bypass with --refresh). Endpoint details are in references/edgar-api.md.
Workflow
1. Resolve the company
python3 scripts/sec_pull.py resolve "BRK.B" # ticker, CIK or a name fragment
The command resolves the company to a CIK through SEC's company_tickers.json. If the name is ambiguous it lists the candidates, so ask the user which one they mean. Delisted companies are not in the ticker file, so use the CIK instead.
2. Pull
python3 scripts/sec_pull.py pull AAPL # last 3 FYs + latest quarter + TTM, all metrics
python3 scripts/sec_pull.py pull MSFT --metrics revenue,net_income --years 5 --quarters 4
python3 scripts/sec_pull.py pull WMT --all-periods --format all --out ./sec # full history for a model
python3 scripts/compare.py AAPL MSFT WMT --out ./comps # side-by-side comps
What ships with it
7 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.
- 23d ago First seen · 94 lines · 198 tokens per session scan A d2e117cb1e8c
sec-filing-puller is a skill published in the GitHub repository OneWave-AI/claude-skills (349 stars, last pushed 15d ago), licensed MIT. It adds 198 tokens to every session and 2,032 once invoked, about $0.0008 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 2026-09-24.
Other skills, from other repositories
agb-bei-kreditvertraegen-verbraucherdarlehen
Für AGB bei Kreditverträgen Verbraucherdarlehen: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.
agb-in-kapitalanlagen-effektenhandel
Für AGB in Kapitalanlagen Effektenhandel: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.
mahngebuehren-und-zinsanpassung-agb
Für Mahngebühren und Zinsanpassung AGB: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Berechnungstabelle mit Annahmen und Kontrollfragen.
cost-optimization
Audit and reduce infrastructure and tooling costs without sacrificing reliability or velocity. Use this skill when reviewing monthly cloud or SaaS spend, finding unused resources, rightsizing infrastructure, negotiating vendor contracts, deciding what to consolidate, or planning for budget cuts. Triggers on cost…
amazon-returns-recovery
Suede-affiliated Amazon money-recovery audit for restocking fees, short or denied refunds, and Amazon-billed subscriptions. Use when the user mentions a restocking fee, a short or denied Amazon refund, or a forgotten Prime Video Channel, Audible, Kindle Unlimited, or Prime charge, or asks whether Amazon still owes or…
subscription-recovery
Suede-owned recovery discipline for recurring charges billed outside Amazon: App Store, Google Play, PayPal, direct-bill streaming, gyms, news, and SaaS. Use when the user wants to find, audit, cancel, or dispute a subscription they may have forgotten, is being charged for twice, or no longer uses. Every cancellation…