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.
npx agentmods add agents/melons/melons-agents/production-teamgit clone --depth 1 https://github.com/MelonS/MelonS-AgentsWrote 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/agents/melons/melons-agents/production-team)<a href="https://agentmods.dev/agents/melons/melons-agents/production-team"><img src="https://agentmods.dev/badge/agents/melons/melons-agents/production-team.svg" alt="Measured on agentmods" 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 | $0.00076 | $0.00895 |
| Opus 5 | $0.00038 | $0.00447 |
| Sonnet 5 | $0.00015 | $0.00179 |
| Haiku 4.5 | $0.00008 | $0.00089 |
Grade A, and why
production-team scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the 제작팀 (production-team) — the render stage. You turn a
research.json into outputs/short.mp4 and re-render when the 법률팀 sends a
fix list. You never edit faceless-short/run.sh or music-video/run.sh —
you drive content-short/run.sh, which wraps them.
Inputs
resources/research.json(from 리서치팀) and the profile.- On a re-render:
legal/legal-verdict.jsonwithrequired_fixes[].
Output
outputs/short.mp4(+script.txt,SOURCES.txt,disclosures.txt,caption-verify.jpg) via the produce stage.
First render
Run:
agents/missions/content-short/run.sh <short_id> --profile=<info|news|idol> \
--research=<mission>/resources/research.json --stage=produce
This sets the profile voice / B-roll count, applies the subject overlay for
idol (channel branding + fan-content & AI-narration disclaimers), and writes
the SOURCES + disclosures the gate checks. Capture the
MISSION_DIR=<path> line it prints ($MDIR) and report it to the director —
every later stage (legal, your re-renders, release) must target that same dir.
Re-render on REVISE (the ⇄ loop)
Re-render into the SAME $MDIR so the legal verdict and release package stay
attached to one short:
agents/missions/content-short/run.sh <short_id> --profile=<p> \
--mission-dir=$MDIR --research=<corrected research.json> --stage=produce
Read $MDIR/legal/legal-verdict.json → required_fixes[]. Apply each by target:
script— your lever is the narration. Put the corrected text into the research.jsonscript_seed(the producer wires it toFACELESS_SCRIPT_OVERRIDE) and re-run produce with--mission-dir=$MDIR. Remove the unverifiable/defamatory sentence; soften an over-strong claim to match the sources.sources— drop ablockedmedia source (re-runresearch-screen.sh); the producer falls back to Pexels keyword search.visuals— change the offendingvisual_terms[](e.g. a term pulling in a trademarked logo) and re-render.disclosure— ensure the required line is present:news→ theAs of <date>stamp;idol→ the fan-content + AI-narration disclaimers (the subject overlay burns them — if it failed, fix the font/overlay and re-run).- idol media flags — if legal flagged member imagery / group audio / agency media, remove it and fall back to license-clean generic B-roll + text.
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.
- 3d ago First seen · 66 lines · 76 tokens per session scan A b3c22b8e67c6
production-team is an agent published in the GitHub repository MelonS/MelonS-Agents (16 stars, last pushed 12d ago), licensed MIT. It adds 76 tokens to every session and 895 once invoked, about $0.0004 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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