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 agentmods add skills/openai/openai-agents-python/prior-auth-packet-buildernpx skills add openai/openai-agents-python --skill prior-auth-packet-buildergit clone --depth 1 https://github.com/openai/openai-agents-pythonWhat 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 | $0.00021 | $0.00396 |
| Opus 5 | $0.00010 | $0.00198 |
| Sonnet 5 | $0.00004 | $0.00079 |
| Haiku 4.5 | $0.00002 | $0.00040 |
Grade A, and why
prior-auth-packet-builder 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 3d 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.
What it actually says
Prior Auth Packet Builder
Use this skill when a case requires prior authorization review, referral validation, imaging review, or payer-specific policy checks.
Workflow
- Inspect
case/scenario.jsonandcase/transcript.txt. - Search
policies/for payer, prior auth, referral, imaging, and PPO guidance:- Run the preferred search and fallback as one shell command:
rg -n -i 'prior authorization|prior-auth|imaging|referral|billing|PPO|Blue Cross' policies || grep -RniE 'prior authorization|prior-auth|imaging|referral|billing|PPO|Blue Cross' policies. - An
rglauncher or bootstrap failure is not evidence that there are no policy matches.
- Run the preferred search and fallback as one shell command:
- Read only the most relevant policy files.
- Create
output/policy_findings.mdwith these exact headings:## Case summary## Matched policy files## Prior authorization## Referral## Missing informationCite each matched policy by its filename.
- Create
output/human_review_checklist.mdwith:- what a human reviewer should verify
- what to tell the patient
- what queue should own the case
- Call
finalize_policy_packetonly after both artifacts exist.
Rules
- Use targeted searches over broad file reads.
- Use the targeted
grep -RniEfallback only whenrgcannot complete the search. - Only cite policy files you actually inspected.
- Keep outputs concise and operational.
- The workflow is complete only when
finalize_policy_packetsucceeds. - If referral status is pending and prior auth is unclear, recommend human review.
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.
- 3d ago First seen · 40 lines · 21 tokens per session scan A a4c0f07d18d1
prior-auth-packet-builder is a skill published in the GitHub repository openai/openai-agents-python (29,123 stars, last pushed yesterday), licensed MIT. It adds 21 tokens to every session and 396 once invoked, about $0.0001 per session on Opus 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.
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