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 | $0.00048 | $0.02149 |
| Opus 5.5 | $0.00019 | $0.00860 |
| Sonnet 5.5 | $0.00010 | $0.00430 |
| Haiku 4.5 | $0.00005 | $0.00215 |
Grade A, and why
indian-health-insurance-claim-help 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 17d 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 — 106 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 claim. Better preparation improves completeness, not eligibility; never imply that formatting can guarantee acceptance.
Choose the mode
- Chat mode (default): follow GUIDE.md. It needs no code and works on phones and chat websites. Use it whenever Python cannot run or the claimant only wants guidance and a checklist.
- Packet mode: when Python runs here and the claimant wants built PDFs, run the chat-mode intake and checks first, then follow the packet workflow below. You write
claim-manifest.jsonfrom the documents and the claimant's answers; never ask the claimant to edit JSON. Local installation is in references/local-setup.md.
Scope
This skill covers hospitalization/day-care-linked indemnity reimbursement, including pre/post-hospitalization expenses, for individual, family, and employer/group policies. Group policies usually run through a TPA, whose claim form and portal decide the route. Standalone OPD, fixed-benefit, cashless authorization, critical-illness lump-sum, and similar claim types need their own current product instructions instead of this evidence model. Government schemes such as PM-JAY, CGHS, and ESIC are out of scope.
Establish the authority first
Identify the insurer, exact product name and UIN, policy/schedule, TPA, claim type, admission/discharge dates, intimation or main claim reference, and submission channel. If the claim has not been intimated, ask the claimant to do it now.
- Prefer the current policy wording, customer information sheet, live insurer/TPA portal, and current official claim form over generic guidance. A screenshot of the claimant's portal upload screen is good evidence of its categories and limits.
- 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.
What ships with it
13 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.
- agents/openai.yaml 322 B
- assets/claim-manifest.example.json 10.0 KB
- assets/submission-receipt.template.md 1.5 KB
- references/after-submission.md 6.9 KB
- references/document-checklist.md 8.0 KB
- references/insurer-sources.md 15 KB
- references/local-setup.md 2.7 KB
- references/manifest.md 9.2 KB
- references/messages.md 1.4 KB
- references/qa-submission.md 4.1 KB
- scripts/claim_packet.py 121 KB runs code
- scripts/new_claim_case.py 3.3 KB runs code
- scripts/render_packet.sh 2.4 KB runs code
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.
- 17d ago Changed · +7 lines · -18 tokens per session ca5f55b5e14d
- 2mo 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 (62 stars, last pushed 17d ago), licensed MIT. It adds 48 tokens to every session and 2,149 once invoked, about $0.0002 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 2026-08-30.
indian-health-insurance-claim-help compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| indian-health-insurance-claim-helpDhananjayBhosale/Indian-Health-Insurance-Claim-Help | Skill | 62 | 17d ago | MIT | A | 48 | Codex |
| patent-readerhandsomestWei/patent-disclosure-skill | Skill | 13k | yesterday | MIT | A | 38 | Claude Code |
| software-copyright-materialsFokkyp/SoftwareCopyright-Skill | Skill | 6.3k | 14d ago | AGPL-3.0 | A | 98 | Claude Code, Codex |
| meta-pdf-reformat-pipelineopensquilla/opensquilla | Skill | 7.1k | 6d ago | Apache-2.0 | A | 35 | Claude Code, Codex |
| pdf-generationglebis/claude-skills | Skill | 409 | yesterday | MIT | A | 86 | Claude Code |
| ectd-xml-compileraipoch/medical-research-skills | Skill | 2.0k | 1mo ago | MIT | A | 39 | Claude Code, Codex |
| audit-exportSnowflake-Labs/cocoplus | Skill | 727 | 2d ago | MIT | A | 15 | Claude Code |