GitHub repository access in containerized environments using REST API and credential detection. Use when git clone fails, or when accessing private repos/writing files via API.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user explicitly asks to use the informed-patient skill to prepare for a medical appointment, organize symptoms before seeing a doctor, or evaluate the evidence behind a diagnosis or treatment. Do not trigger automatically from health questions or symptom mentions alone — requires an explicit request by name.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Turns a user's own health experience into a document they can hand to a clinician: a structured symptom picture, a mini literature review with quality-tagged sources, competing hypotheses, and questions they picked themselves. The user shows up to the appointment with organized thinking and sharper questions.
Written for people developing an understanding of new or persistent symptoms, people mid-diagnostic-journey, people evaluating the evidence behind a diagnosis they already have, and people who want to track symptoms systematically enough to communicate them well.
Without guardrails, AI-assisted medical searching produces anchoring on one hypothesis, overgeneralization from thin evidence, no source quality control, and no awareness of understudied conditions or evidence that has shifted over time. The structure below exists to counter those four failure modes.
Written by Cat Hicks (github.com/DrCatHicks/informed-patient), CC BY 4.0
(https://creativecommons.org/licenses/by/4.0/). Changed from upstream: the
single 34KB SKILL.md was split into a resident core and per-phase references
loaded on demand. Procedure text is upstream's, verbatim. Full licence in
LICENSE.txt.
In: physical health conditions, evidence evaluation, symptom organization, appointment preparation.
Out: mental-health self-diagnosis or therapy, emotional processing, acute emergencies (direct to 911/emergency services), treatment decisions.
You can assess the research evidence behind a treatment. Do not recommend one. Direct the user toward a specific actionable question about it instead.
When a user expresses distress, acknowledge it in one sentence and continue the structured work. Doing the work with them is itself the support. Do not therapize.
These are resident because a phase reference that fails to load must not take a guardrail with it.
Tone: task-oriented, warm, plainspoken. Translate jargon on contact. No condescension, no hedging past the point of usefulness.
Ask before starting: "Would you like to do a quick exercise to shape your preparation for your next appointment? About 10-15 minutes."
Default opener, adapted rather than recited:
"Organizing your thinking about this is a useful step. Let's build something you can bring to your next appointment. I'll ask you some questions to understand your situation, then we'll put together a structured document with your symptom picture, what a brief search of the evidence says, and specific questions for your medical team."
Tell the user early that they can stop and resume: "We can do this in pieces. Start with whatever feels most useful right now and we can come back to the rest later."
Read the phase reference before starting that phase. The sequence is fixed: interview, then search, then evaluation, then the artifact.
| Phase | Read first | Ends when |
|---|---|---|
| 1. Guided interview | references/phase-1-interview.md | timeline, one concrete functional impact, and the content-validity check are all captured |
| 2. Literature search | references/phase-2-search.md | 5-10 quality-tagged sources found, Evidence Snapshot written, red flags selected |
| 3. Evidence evaluation | references/phase-3-evaluation.md | user has picked their top 2-3 questions |
| Artifact | references/output-template.md | file written to disk |
Supporting references, read when the phase reference points at them:
references/symptom-inventory-methodology.md — why the elicitation sequence
is ordered the way it is; functional anchors vs. numeric scales; when to keep
the patient's own words.references/literature-search-strategy.md — per-source query templates and
the ⚠️ warning conditions.references/evidence-hierarchy.md — how to explain each study type in plain
language; effect size, NNT, base rates, generalizability, publication bias.references/red-flags.md — the ten flags in full, each with its suggested
action.references/output-template.md — the section-by-section artifact template.
Use it verbatim.If the user's opening move is a specific study or claim rather than a symptom description, treat the claim as interview data and run Phase 1 anyway. A single study is worth more situated in the evidence landscape than evaluated alone.
Selected at the end of Phase 2, before Phase 3, so they shape how confidently evidence gets presented rather than arriving as an afterthought. Pick the 1-3 that apply; do not force the rest.
Full text and per-flag actions: references/red-flags.md. Frame each one as a
feature of the diagnostic territory: here is something worth knowing about this
territory, and here is a question it suggests the user could ask.
User cites a study. Identify the evidence type, sample size and population, effect size separately from statistical significance, and whether it has been replicated. Clinician judgment counts as its own kind of evidence alongside the research.
User is locked onto one explanation. Prompt once for alternatives. If they resist and the diagnosis is unconfirmed, keep the alternatives in the artifact and note it as something for the medical team. If the diagnosis is confirmed, their resistance is correct. Do not push.
User hits alarming information. Ground it in base rates, separate possible from probable, and route it back into the structured evaluation as a question for the clinician.
Write health-evidence-review-[condition]-[YYYY-MM-DD].md to the working
directory. Fill in references/output-template.md verbatim. Use the
"Possible Explanations" section for differential-diagnosis questions and
"Possible Scenarios" for confirmed-diagnosis progression or risk questions —
one or the other, never both. Cite into the References section throughout so
the user and their clinicians can trace where each question came from.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
GitHub repository access in containerized environments using REST API and credential detection. Use when git clone fails, or when accessing private repos/writing files via API.
日本語の概要は準備中です。原文の説明を表示しています。
Decide which model, effort level, and cascade shape each subagent gets, and how to keep improvement loops safe (evaluator-as-selector, stop on regression). Routes on measured cost-per-completed-task rather than per-token price, because a tier's token count varies more by task shape than price varies across tiers. Covers per-model effort semantics, the concision lever, cascade preconditions, context handoff, and watching a subagent fan-out live. Use when choosing a subagent's model or effort, when choosing how to escalate a failed attempt, or when asked which model or effort a task should get. Grounded in a 2026-07 calibration, a 2026-08 coding-cost study, a 2026-09 seeded-bug repair battery, a 2026-10 Haiku 5.5 ladder priced per spawn, and a 2026-10 retry-versus-escalation ladder on 295 SWE-bench Verified tasks; Managed Agents API specifics are operational, not calibrated.
日本語の概要は準備中です。原文の説明を表示しています。
Securely manages API credentials for multiple providers (Anthropic Claude, Google Gemini, GitHub). Use when skills need to access stored API keys for external service invocations.
日本語の概要は準備中です。原文の説明を表示しています。
Guidance for asking clarifying questions when user requests are ambiguous, have multiple valid approaches, or require critical decisions. Use when implementation choices exist that could significantly affect outcomes.
日本語の概要は準備中です。原文の説明を表示しています。
Pre-change blast-radius report for a symbol or file. Walks tree-sitting references, augments with a plain-text scan over non-parsed files (configs, plain docs), and clusters affected sites by feature (`_FEATURES.md`) or top-level package. Use when about to refactor, rename, or delete something in a repo you don't own — "what breaks if I change `validateUser`", "who calls this", "is this safe to remove", "where is this used", "blast radius", "impact analysis". This is the CONVERGENT pre-change risk skill — for "what is this repo?" use exploring-codebases; for "where is X?" use searching-codebases.
日本語の概要は準備中です。原文の説明を表示しています。
Read Bluesky/ATProto without depending on Bluesky's AppView — interactions on a user's posts, thread replies, any repo's records, network-wide backlinks across every lexicon, an account's handle and PDS history, which collections are active network-wide, and layer-by-layer outage diagnosis. Use when bsky.app or the AppView is down or slow, when a Bluesky read returns timeouts or 5xx, when asked who liked/replied/quoted/reposted something, when pulling live Bluesky context cheaply, when reading records straight from a PDS, when asked who references a record or account anywhere on the network, whether an account has changed handle or migrated servers, or which lexicons and non-Bluesky apps are active on atproto. Complements browsing-bluesky, which routes everything through the AppView and fails when it does.
日本語の概要は準備中です。原文の説明を表示しています。