Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/djangonavarro220/agentic-life-osnpx agentmods add skills/djangonavarro220/agentic-life-os/core-doctorWrote 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/djangonavarro220/agentic-life-os/core-doctor)<a href="https://agentmods.dev/skills/djangonavarro220/agentic-life-os/core-doctor"><img src="https://agentmods.dev/badge/skills/djangonavarro220/agentic-life-os/core-doctor/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/djangonavarro220/agentic-life-os/core-doctor"><img src="https://agentmods.dev/badge/skills/djangonavarro220/agentic-life-os/core-doctor.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 | $0.00024 | $0.02032 |
| Opus 5 | $0.00012 | $0.01016 |
| Sonnet 5 | $0.00005 | $0.00406 |
| Haiku 4.5 | $0.00002 | $0.00203 |
Grade A, and why
core-doctor 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 12d 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 — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.
core-doctor
Mandatory integrity contract
Before acting, load and follow ../../references/data-integrity.md. Its provenance, missing-value, correction-history, defensive-write, backup, and recovery rules are mandatory for this subskill.
Diagnose Agentic Life OS repo state, private state, runtime visibility, source-decision config, and integration readiness. The script doctor validates boring files; the LLM doctor interprets what it means and what is safe to do next.
Trigger
Use when the user asks to check, diagnose, verify, repair, or explain a Life OS install.
Principle
Doctor is read-only by default. It may run validators and native status commands, but it must not repair, migrate, register skills, create crons, edit config, or touch runtime-owned systems unless the user explicitly asks.
Inputs to inspect
- Current repo state and files.
- Life OS private state directory:
$HOME/.life-osby defaultLIFEOS_DATA_DIRif explicitly set
- Runtime adapter for the active runtime:
../../runtimes/hermes.md../../runtimes/openclaw.md
- Runtime-native health and visibility commands.
- Relevant subskills if the reported issue names one.
Base private-state check
From the repo root:
python3 scripts/lifeos.py doctor
The helper checks:
skills/life-os/skill-index.yamlexists and references real subskills- every indexed subskill has
SKILL.md - every indexed subskill has
schemas/data.schema.json - JSON schemas parse
- private data dir exists, if installed
installed.json,runtime.json, andconfig.jsonexist, if installed- per-subskill private data files exist, if installed
semantic_health: whether required source, schedule, delivery, routine, review-cron, and record-keeping decisions have been asked and saved
If semantic_health.complete is false, the install is mechanically present but semantically incomplete. Missing semantic answers are discovery tasks, not blind user-preference questions. Before asking the user to decide, inspect the active runtime with native tools and report what already exists.
What ships with it
3 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.
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.
- 12d ago First seen · 198 lines · 24 tokens per session scan A c8b915dcdf5e
core-doctor is a skill published in the GitHub repository djangonavarro220/agentic-life-os (11 stars, last pushed 1mo ago), licensed MIT. It adds 24 tokens to every session and 2,032 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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