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 DhananjayBhosale/Indian-Health-Insurance-Claim-Help --skill indian-health-insurance-claim-helpgit clone --depth 1 https://github.com/DhananjayBhosale/Indian-Health-Insurance-Claim-HelpWrote 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/dhananjaybhosale/indian-health-insurance-claim-help/indian-health-insurance-claim-help)<a href="https://agentmods.dev/skills/dhananjaybhosale/indian-health-insurance-claim-help/indian-health-insurance-claim-help"><img src="https://agentmods.dev/badge/skills/dhananjaybhosale/indian-health-insurance-claim-help/indian-health-insurance-claim-help/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/dhananjaybhosale/indian-health-insurance-claim-help/indian-health-insurance-claim-help"><img src="https://agentmods.dev/badge/skills/dhananjaybhosale/indian-health-insurance-claim-help/indian-health-insurance-claim-help.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 | $0.00066 | $0.01515 |
| Opus 5 | $0.00033 | $0.00758 |
| Sonnet 5 | $0.00013 | $0.00303 |
| Haiku 4.5 | $0.00007 | $0.00152 |
Grade A, and why
indian-health-insurance-claim-help 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 12d 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.
Asks for rootlowPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
Run these helpers from the skill repository root with Python 3.11 or newer. If the PDF runtime is not installed, run `python3 -m pip install -r requirements.txt` first; install Poppler (`brew install poppler` on macOS or Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
How it starts
The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Indian Health Insurance Claim Help
Prepare a truthful, readable, traceable evidence packet. Improve completeness and reviewer usability without implying that formatting can guarantee claim acceptance.
Establish the authority first
Before arranging documents, confirm this is a hospitalization/day-care-linked indemnity reimbursement. Standalone OPD, fixed-benefit, cashless authorization, critical-illness lump-sum, and similar claim types need their own current product instructions instead of this default evidence model.
Identify the insurer, exact product name and UIN, policy/schedule, TPA, claim type, admission/discharge dates, main claim reference when applicable, and submission channel.
- Prefer the current policy wording, customer information sheet, live insurer/TPA portal, and current official claim form over generic guidance.
- Record official URLs, the date checked, exact portal screen/journey, documented upload categories, formats, and size limits in the manifest.
- Never hard-code a pre/post coverage window or filing deadline across products. If sources conflict, flag the conflict and use the safer earlier date while the claimant confirms.
- Read references/insurer-sources.md when researching an insurer. It is a source map, not a substitute for the claimant's policy.
Protect originals and private data
- Work locally unless the claimant explicitly authorizes another service. Medical, identity, bank, policy, and claim records are highly sensitive.
- Preserve every source byte-for-byte. Build only from copies and record SHA-256 hashes.
- Never invent, rewrite, hide, crop away, or "correct" medical or financial evidence.
- Never add insurer-specific wording, a stamp, or an annotation to source evidence unless the exact current route requires it and the claimant authorizes it; preserve the untouched source.
- Do not fill hospital-only fields, add a signature, create a factual explanation, or submit a claim without explicit authorization. Unknown facts stay unresolved.
- Keep highlights, annotations, and audit covers in
REVIEW_ONLY; submit untouched evidence pages inSUBMITunless the live insurer instructions require otherwise.
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.
- 12d ago First seen · 99 lines · 66 tokens per session scan A eca091bde2e4
indian-health-insurance-claim-help is a skill published in the GitHub repository DhananjayBhosale/Indian-Health-Insurance-Claim-Help (55 stars, last pushed 22d ago), licensed MIT. It adds 66 tokens to every session and 1,515 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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