An onboarding procedure for NarratorDB, a memory service for coding-agent projects. It checks whether project memory, privacy mode, automatic capture, and the current workspace are ready.

Use it after installation or upgrades, or when checking whether NarratorDB can capture and recall project information. It reports memory counts and whether the service is in Private or Intelligence mode.

It gives a consistent readiness check and warns when the agent was started outside the intended project folder, which can block safe project memory.

onboard — Skill for Claude Code by WilliamJnsson/NarratorDB

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.

Any agent

npx skills add WilliamJnsson/NarratorDB --skill onboard

Clone the repo

git clone --depth 1 https://github.com/WilliamJnsson/NarratorDB

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/williamjnsson/narratordb/onboard/github.svg)](https://agentmods.dev/skills/williamjnsson/narratordb/onboard)

Your own site

<a href="https://agentmods.dev/skills/williamjnsson/narratordb/onboard"><img src="https://agentmods.dev/badge/skills/williamjnsson/narratordb/onboard/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/williamjnsson/narratordb/onboard"><img src="https://agentmods.dev/badge/skills/williamjnsson/narratordb/onboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 648 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00039	$0.00648
Opus 5.5	$0.00016	$0.00259
Sonnet 5.5	$0.00008	$0.00130
Haiku 4.5	$0.00004	$0.00065

Measured 1mo ago against content hash 63412461db31, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

onboard 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 1mo 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.

plugins/narratordb/skills/onboard/SKILL.md · 47 lines

What it actually says

Onboard NarratorDB

Perform one quiet, read-only readiness check:

Send one short progress update: Checking NarratorDB for this project…
Call status exactly once with scope="project" and full_check=false.
Interpret the structured response internally. Read the current-project count from memory_counts.current_workspace and the user's all-workspace count from memory_counts.current_user_total. Do not echo raw JSON. Read the automatic policy from capture_policy.
Inspect scope_diagnostics.project_writes_blocked before calling the project ready. If it is true, finish with one warning and stop: NarratorDB is healthy, but project memory is not ready — Codex started outside a safe project scope. Start Codex from the intended project folder and run onboarding again. (<current> current-workspace memories; <total> across your workspaces.)
Otherwise finish with one compact result:
- ready in Private mode: NarratorDB is ready — Private mode, <policy> capture, local recall, <current> current-workspace memories (<total> across your workspaces).
- ready in Intelligence mode: NarratorDB is ready — Intelligence mode, <policy> capture, local recall, <current> current-workspace memories (<total> across your workspaces).
- path-derived but writable: append one short form of scope_warning; do not claim the scope is portable across machines.
- degraded: NarratorDB is degraded: <short reason>. <one recovery action>.
- unavailable: NarratorDB is unavailable. Install or verify uvx, then restart Codex.

Do not call resume, recall, or remember during routine onboarding. The SessionStart hook handles normal context loading; explicit resume and write requests are separate interactions. Do not list database paths, user IDs, workspace IDs, health objects, or timing fields unless the user asks for diagnostics. Never say that the database is empty merely because memory_counts.current_workspace is zero; report current-workspace and all-workspace counts separately.

Private mode needs no account, API key, or external model. An existing Intelligence database remains Intelligence, but its recall is still local. Do not install unrelated packages, change mode, request a provider key, or expose environment contents. Codex controls native status/spinner animation; this skill can provide concise commentary but cannot customize that animation.

Policy meanings: manual saves only explicit remember calls; preferences also learns high-confidence personal preferences and routines from the current prompt; sessions additionally captures bounded project conversations. Never describe Preferences as arbitrary AI extraction. If the user wants to change mode or policy, use the setup skill rather than mutating configuration during a readiness check.

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.

1mo ago First seen · 47 lines · 39 tokens per session scan A 63412461db31

Subscribe to this mod's changes

onboard is a skill published in the GitHub repository WilliamJnsson/NarratorDB (0 stars, last pushed 6d ago), licensed MIT. It adds 39 tokens to every session and 648 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 2026-08-31.

Memory and context

knowledge-ingest

Ingest documents, articles, conversations, or supplied text into Knowledge with retained originals, sourced claims, entity updates, source notes, and cross-links; also learn durable lessons from a set of conversations, transcripts, or past sessions (/learn), including the Learn from conversations and Learn from Memory…

openclaw/openclaw · 80 tokens

mem0-oss-to-platform

Plan, then execute, a migration of a project from the mem0 open-source / self-hosted SDK (local Memory class) to the mem0 Platform / hosted SDK (MemoryClient). TRIGGER when: the developer wants to move, switch, or migrate mem0 off OSS/self-hosted to the hosted API, e.g. "migrate my mem0 setup to the platform", "switch…

mem0ai/mem0 · 217 tokens

forget

Remove a personal fact, preference, relationship detail, topic, or prior event from Muse's active memory and stop existing copies or automations from bringing it back. Use for explicit requests such as 'forget that', 'don't remember this about me', or 'remove that from your memory'. Do not use when 'forget it' merely…

asgeirtj/system_prompts_leaks · 74 tokens

Cortex

LifeOS memory, prior-session recall, and learning capture. USE WHEN capture this learning, document this learning, what did we learn recently, recent learnings, cortex, knowledge, knowledge base, search knowledge, what do we know about, archive, harvest, knowledge status, develop note, add to knowledge, add a people…

danielmiessler/LifeOS · 184 tokens

memory

Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.

opensquilla/opensquilla · 44 tokens

ha-data-stores

Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…

shiwenwen/hope-agent · 115 tokens