OpenBioHack
OrganizationFree, non-directive, first-principles thinking partner for hard, ambiguous health challenges & optimisation — runs in your own Claude Code, on your own data. Educational, not medical advice.
Categories
Indexed Skills (5)
product-search
Deep-verified supplement and product recommendations that enforce ingredient-by-ingredient cross-checking against the user's documented constraints in MEMORY.md and medical-history.md. Prevents the common failure mode of recommending products based on brand reputation or search-result titles without actually reading the product page. Every recommendation requires fetching the real product page, extracting the full "Other Ingredients" list, checking each ingredient against the user's hard-no list, reading user reviews, and verifying brand reputation. Maintains persistent state (verified-products, brand-database, search-log) so repeat searches don't redo work. Use this skill WHENEVER the user says `/product-search`, asks "find me a source for X", "where do I buy X", "what's the best brand of X", "compare [product A] and [product B]", "which [product] should I get", "direct URLs for those products", or explicitly asks for a product recommendation, supplement source, or brand comparison. Do NOT use proactively —
research-practitioner
Practitioner-grounded deep research that extends the standard /research engine with structural enforcement against shallow vendor-flavored synthesis. Use this skill whenever the user says "/research-deep", "deep research", "not just docs", "find practitioners", "what experts who shipped X learned", "deeper research", or asks any research question where prior research output was rejected as superficial. Also trigger automatically when the topic is a fast-moving technical domain (AI agents, LLM infrastructure, novel architectures) where documentation-deep answers reliably mislead and only practitioner experience reports carry signal. Trigger especially when the user is visibly frustrated with a previous shallow research output, when they explicitly ask for named experts/practitioners, when they say "I need to actually understand X", or when the user mentions wanting to build / ship / operate something rather than just compare options. The skill enforces tier-tagged claims, verbatim primary-source quotes, mandat
research
General-purpose first-principles research engine that enforces genuine reasoning through structural gates — not advice to "think harder" but mandatory steps that prevent authority bias, lazy analogies, survivorship narratives, and summary-as-analysis. Use this skill whenever the user needs rigorous analysis of a complex question, strategic research, market viability analysis, technology assessment, competitive analysis, scenario planning, psychology research, processing studies, verifying clinical claims, or any deep research where getting it wrong has real consequences. Also trigger when the user says "research this deeply", "first principles", "think this through", "analyze this properly", "don't just summarize", "psych research", "find studies on", "verify this claim", or any variant suggesting they want genuine depth rather than plausible-sounding text. Especially important for novel or unprecedented questions where pattern-matching from historical precedent is unreliable. Includes specialized psychology/
extract-health-data
Turns raw health materials (PDFs, scanned documents, images, spreadsheets, exported files) into two layers: first a faithful, fully traceable extraction of each source; then a set of cross-source compiled views (timeline, lab-trends, and others) built once for pattern-spotting without re-burning tokens. Every item traces back to a verbatim source quote. Reorganises data; never interprets, concludes, or flags. Use when handed raw health materials that need to become structured, traceable, pattern-ready data before any analysis. Called by /investigate-health Step 1, or directly when extraction is the whole task. Triggers: "extract this data", "process these records", "pull the values out of these PDFs", "/extract-health-data".
investigate-health
Autonomous procedure for investigating someone's complex multi-system health picture. Works backward from what the person is actually experiencing to the underlying processes that could be producing it, narrows down by evidence (including direct interview with the person), and offers them possibilities they could consider trialing or testing — never in directive language, always as options to discuss with their clinician. Use when handed a person's health records, lab results, or symptom history with the goal of understanding what might be going on and what they might consider next. Triggers: "investigate this person's health", "help me biohack X", "work out what might be going on with Y", "/investigate-health". Not for single research questions — that is /research, which this procedure calls.
Bio shown is the top-scored skill's repo description as a fallback — real GitHub bios land in a future update.