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 DataSift-Ty-Personal/SiftStack --skill deep-prospecting-v4git clone --depth 1 https://github.com/DataSift-Ty-Personal/SiftStackWrote 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/datasift-ty-personal/siftstack/deep-prospecting-v4)<a href="https://agentmods.dev/skills/datasift-ty-personal/siftstack/deep-prospecting-v4"><img src="https://agentmods.dev/badge/skills/datasift-ty-personal/siftstack/deep-prospecting-v4/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/datasift-ty-personal/siftstack/deep-prospecting-v4"><img src="https://agentmods.dev/badge/skills/datasift-ty-personal/siftstack/deep-prospecting-v4.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00157 | $0.11288 |
| Opus 5.5 | $0.00063 | $0.04515 |
| Sonnet 5.5 | $0.00031 | $0.02258 |
| Haiku 4.5 | $0.00016 | $0.01129 |
Grade A, and why
deep-prospecting-v4 scanned grade A with 1 finding 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 2mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
In the SiftStack pipeline this is `src/scrapfly_browser.py` (importable `ScrapflyBrowserClient.fetch(url)`), and `run_deep_prospect.py --fallback-urls "<deed>,<obit>,<docket>"` pulls these pages inline during the same he Copies of this mod
1 near-identical copy found in the catalogue:
- deep-prospecting — 88% identical, 72 lines differ
How it starts
The opening of the file, as written. The whole thing — 777 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deep Prospecting
Deep prospecting is the process for identifying and verifying the heirs/decision-makers (owner/heir/executor) behind a distress lead, and determining who must actually sign for the property to sell. Core philosophy: "When everyone hits a wall, we bring a shovel."
Updated edition (v4). Productionized against a live Enformion/Endato integration. Hardening since v3:
- Detect API failure by HTTP status, never by the always-present
errorobject.- Never infer "child" from a surname match alone.
relativeLevel "ab"is closest kin, which also includes the spouse, siblings, and parents. UserelativeType, and match the surname as a whole last-name token (not a substring: "Maxwell" is not a "Well").- Recover the year from masked/partial dates (
9/XX/1955,3/XX/2026) and dict-shaped death fields.- Anchor the DOD sanity check to the notice's PUBLICATION date, not the date you ingested the record.
- Surface, never silently resolve, a death-index vs obituary DOD conflict.
- Ships a runnable, dependency-light reference script (
scripts/enformion_person_search.py) and a full field schema (references/enformion-person-search.md).
Two Paths - Pick API-First
| Path | When | Reliability | Cost/record |
|---|---|---|---|
| Primary: API-Based Heir Resolution (recommended) | You have Enformion/Endato + Trestle API access | HIGH - heir set comes from the provider's relationship graph; deterministic; nothing inferred | ~$2.30-3.00 |
| Fallback: 3-Site Browser Waterfall | No API access, or API returns thin data | MEDIUM - manual assembly from obituaries/people-search sites; slower; hallucination risk | $0-0.15 + your time |
Use the Primary Path below first. It replaces hours of manual obituary and genealogy hunting with a handful of API calls and produces a grounded heir set, a signing analysis, and scored phones. Drop to the browser waterfall only when the API can't resolve a record.
What ships with it
6 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.
- 2mo ago First seen · 777 lines · 157 tokens per session scan A 108b7e71825b
deep-prospecting-v4 is a skill published in the GitHub repository DataSift-Ty-Personal/SiftStack (23 stars, last pushed 23d ago), licensed MIT. It adds 157 tokens to every session and 11,288 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
deep-prospecting-v4 compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| deep-prospecting-v4DataSift-Ty-Personal/SiftStack | Skill | 23 | 23d ago | MIT | A | 157 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |