request-amendment

A drafting workflow for requests to correct or add information to a patient's medical record, including notes, medicines, allergies, diagnoses, or visit details.

In plain words
What is it for?
Use it to prepare a neutral record-correction or addendum request, organize evidence, follow up after a denial, or draft an approved FHIR task. It does not provide legal, diagnostic, or treatment advice.
Why use it?
It keeps the patient's statement, the existing record, supporting evidence, and requested amendment separate, which helps avoid presenting an unverified claim as a fact. It can also track response timelines and prepare draft FHIR Task data when explicitly enabled.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/realactivity/tula/request-amendment
Any agent
npx skills add realactivity/tula --skill request-amendment
Clone the repo
git clone --depth 1 https://github.com/realactivity/tula

Made for: Claude Code, Codex.

Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 990 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00092 $0.00990
Opus 5 $0.00046 $0.00495
Sonnet 5 $0.00018 $0.00198
Haiku 4.5 $0.00009 $0.00099

Measured yesterday against content hash 8af84634c213, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

request-amendment 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 yesterday.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/calc_deadline.mjs, scripts/redact_phi_for_eval.mjs, scripts/validate_fhir_task.mjs), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/request-amendment/SKILL.md · 101 lines

How it starts

The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.

request-amendment

When to Use

✅ Use when:

  • The patient says a record contains inaccurate or incomplete information
  • The patient wants neutral language to request a correction or addendum
  • The patient needs help tracking amendment response timelines
  • The patient asks how to proceed after a denial
  • FHIR Task draft output is requested and explicitly enabled

When NOT to Use

❌ Don't use when:

  • The user asks for legal advice, diagnosis, or treatment decisions
  • The task is general health education with no record-integrity request
  • The user asks for threats, accusations, or coercive language
  • The workflow would send PHI to web tools or unapproved external services
  • The user asks for automatic FHIR submission without explicit enablement and approval

Workflow

  1. Intake. Capture target encounter/date, target excerpt or field, patient concern, and requested correction outcome.

    • If source excerpt is missing, ask for it before drafting.
  2. Separate evidence. Keep separate patient_says, record_shows, supporting_evidence, and proposed_amendment.

    • Never collapse them into one asserted fact.
  3. Classify the issue. Use one category: factual error, outdated info, omitted context, attribution error, medication/allergy issue, encounter metadata issue, diagnosis/problem-list issue, or unclear-needs-review.

  4. Run safety/risk screen. Use careful neutral language for sensitive domains (minors, behavioral health, SUD, abuse/neglect, controlled substances, identity mismatch, emergency-care implications).

  5. Draft amendment package. Produce:

    • issue type
    • cited source excerpt
    • patient-stated correction request (labeled)
    • proposed provider-facing amendment language
    • confidence and rationale
    • patient letter draft
    • HIPAA timeline checklist (60 days + one 30-day extension rule)
  6. Apply HIPAA timeline rules.

    • Use references/hipaa-164-526.md for 60-day and one-time 30-day extension behavior.
    • Do not promise provider acceptance; only timeline response obligations.

Read the full file on GitHub · 101 lines

Files

What ships with it

8 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.

Changes

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.

  1. yesterday First seen · 101 lines · 92 tokens per session scan A 8af84634c213

Subscribe to this mod's changes

request-amendment is a skill published in the GitHub repository realactivity/tula (45 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 92 tokens to every session and 990 once invoked, about $0.0005 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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