What is studio-ingestion-flow?

A project-specific guide for Junjo AI Studio's OTLP ingestion path. OTLP is a format and protocol for sending telemetry such as traces, metrics, and logs to a system for storage and analysis.

Use it when changing or reviewing telemetry ingestion, segmented WAL behavior, Parquet files, hot snapshots, recent-to-cold data bridging, or related protocol contracts.

It helps keep changes consistent across the write-ahead log, file flushing, snapshots, backend queries, protocol definitions, and duplicate handling.

How mdrideout/junjo configures Claude Code and Codex

Reuse

Borrowing it

Nothing to install: this file belongs to mdrideout/junjo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/mdrideout/junjo/master/.agents/skills/studio-ingestion-flow/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/mdrideout/junjo

Made for: Claude Code, Codex.

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/mdrideout/junjo/studio-ingestion-flow.svg)](https://agentmods.dev/skills/mdrideout/junjo/studio-ingestion-flow)

Your own site

<a href="https://agentmods.dev/skills/mdrideout/junjo/studio-ingestion-flow"><img src="https://agentmods.dev/badge/skills/mdrideout/junjo/studio-ingestion-flow.svg" alt="Measured on agentmods" height="20"></a>

Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 457 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	$0.00041	$0.00457
Opus 5	$0.00020	$0.00229
Sonnet 5	$0.00008	$0.00091
Haiku 4.5	$0.00004	$0.00046

Measured 7d ago against content hash 93bf7870600b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

studio-ingestion-flow 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 7d 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.

.agents/skills/studio-ingestion-flow/SKILL.md · 49 lines

What it actually says

Studio Ingestion Flow

Use This Skill When

The task touches apps/studio/ingestion/.
The task changes WAL behavior, segmenting, flush triggers, hot snapshots, backpressure, or recent-cold file bridging.
The task changes apps/studio/proto/ contracts used by ingestion and the backend.
The task changes backend code that directly depends on ingestion query semantics.

Do Not Use This Skill When

The task is ordinary FastAPI feature or CRUD work.
The task is frontend UI or state-management work.
The task is primarily an authentication review with no ingestion-path changes.

Workflow

Read apps/studio/AGENTS.md and start from the code path.
Trace the relevant end-to-end path before editing: OTLP receive, WAL write, cold flush, hot snapshot, backend query registration, and deduplication or recent-cold bridging.
Use ADRs for decisions and invariants:
- apps/studio/ingestion/adr/001-segmented-wal-architecture.md
- apps/studio/ingestion/adr/002-sqlite-metadata-index.md
- apps/studio/docs/adr/004-events-json-contract.md when events JSON is involved
Treat apps/studio/ingestion/src/config.rs and active backend code as the source of truth for runtime defaults and behavior.
Update owning proto sources and regenerate outputs through repository commands; never edit generated files manually.

Validation

Run cargo test --locked from apps/studio/ingestion for ingestion work.
Run relevant backend tests when query behavior or proto contracts change.
Use ./run-all-proto-gen.sh from apps/studio when Python proto generation is required.
Verify that documentation describes durable decisions rather than a runtime implementation snapshot.

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.

7d ago First seen · 49 lines · 41 tokens per session scan A 93bf7870600b

Subscribe to this mod's changes

studio-ingestion-flow is a skill published in the GitHub repository mdrideout/junjo (20 stars, last pushed 7d ago), licensed Apache-2.0. It adds 41 tokens to every session and 457 once invoked, about $0.0002 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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junjo: Skill for Claude Code