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 tylergibbs1/backwork-mcp --skill policy-change-reviewgit clone --depth 1 https://github.com/tylergibbs1/backwork-mcpWrote 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/tylergibbs1/backwork-mcp/policy-change-review)<a href="https://agentmods.dev/skills/tylergibbs1/backwork-mcp/policy-change-review"><img src="https://agentmods.dev/badge/skills/tylergibbs1/backwork-mcp/policy-change-review/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/tylergibbs1/backwork-mcp/policy-change-review"><img src="https://agentmods.dev/badge/skills/tylergibbs1/backwork-mcp/policy-change-review.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 | $0.00040 | $0.01351 |
| Opus 5.5 | $0.00016 | $0.00540 |
| Sonnet 5.5 | $0.00008 | $0.00270 |
| Haiku 4.5 | $0.00004 | $0.00135 |
Grade A, and why
policy-change-review 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 15d 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Policy change review
Summarize recent policy changes for a payer or a code, then give concrete follow-up actions for each change.
The tools come from the Backwork MCP server. Their names start with backwork_. Some clients add a prefix, for example mcp__plugin_backwork_backwork__backwork_policy_research. If no Backwork tool is available, tell the user to connect Backwork (https://backworkhealth.com/mcp) and stop. Do not answer from general knowledge.
Ground rules
- Research support, not a determination. Report what changed in the policy. Do not tell the user how a payer will decide a claim. End every answer with: "Confirm with the payer before you change billing or PA practice."
- No PHI. Never ask for or accept patient names, member IDs, dates of birth, MRNs, addresses, or chart notes. If the user pastes any, do not repeat it. Ask them to remove it. Send only payer, codes, state, and dates to the tools.
- Cite from tool output only. Each change needs: policy number (
policy_id), title, change date, effective date, and source URL. Add the last-verified date when the tool returns it. A field the tool did not return is written "not returned". Never fill it in from memory. - Use the tool's summary. Use
change_summaryas returned. If it is empty, write "No summary returned" and fetch the policy. Do not invent what changed. - Inferred codes are not document-backed. A code with
source: inferred_title_matchis attached because the policy title names the drug. The document does not list the code. Label it "Inferred from policy title. Confirm in the document." - Say when you don't know. If no changes come back for the window, say so and give the window you checked.
Steps
- Get the inputs: a payer or one or more codes, and a time window. Default to the last 90 days. Convert the window to an ISO 8601
sincetimestamp. - Find the policies in scope.
- For codes: call
backwork_coverage_lookupwithprocedure_codes,include: ["code_details"], andcode_include: ["policies"]. Collect thepolicy_idvalues. - For a payer: call
backwork_policy_researchwithaction: "search",payer,status: "all", andlimit: 50. Add aqueryif the user named a topic. Collect thepolicy_idvalues.
- For codes: call
- Get the changes. Call
backwork_policy_researchwithaction: "changes"andsince.- With ten or fewer policies in scope, call it once per
policy_id. - Otherwise call it once without
policy_idand keep only changes whosepolicy_idis in your set. Thechangesaction does not filter by payer. Followcursorwhile more results are available.
- With ten or fewer policies in scope, call it once per
- For each change of type
criteria_changed,codes_changed, orretired, callbackwork_policy_researchwithaction: "get",policy_id, andinclude: ["criteria", "codes"]to get the current version. - Optional: if the user asks about their organization's review queue, call
backwork_compliance_reviewwithaction: "stats", thenaction: "list_unreviewed". The hosted server is read-only. Tell the user to acknowledge changes in the Backwork app. - Write the answer in the format below.
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.
- 15d ago First seen · 76 lines · 40 tokens per session scan A de17ca854491
policy-change-review is a skill published in the GitHub repository tylergibbs1/backwork-mcp (1 stars, last pushed 2d ago), licensed MIT. It adds 40 tokens to every session and 1,351 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 2026-10-02.
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