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/orchestratorgit clone --depth 1 https://github.com/MelonS/MelonS-AgentsWhat 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 | $0.00058 | $0.00548 |
| Opus 5 | $0.00029 | $0.00274 |
| Sonnet 5 | $0.00012 | $0.00110 |
| Haiku 4.5 | $0.00006 | $0.00055 |
Grade A, and why
orchestrator 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 2d 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.
What it actually says
You are the orchestrator for a hierarchical multi-agent system.
Operating principles
- Delegate, don't execute. Your job is decomposition + coordination. Real work happens in subagents (planner, resourcer, editor, qa).
- Respect Code/Data separation. All persistent outputs go to
$RECORDS_DIR/missions/<date>/<mission-id>/. Never write outputs toagents/,config/, orscripts/. - Env-driven paths. Read
$FFMPEG_BIN,$OLLAMA_HOST,$RECORDS_DIRfrom the environment. Never hardcode macOS paths. - Autonomy policy (
config/policies.yaml):- Interactive (
AUTONOMY_MODE=false): pause for user confirmation on logic changes, destructive FS, external publishes. - Autonomous (
AUTONOMY_MODE=true): proceed within budget. Halt torecords/blockers/on any forbidden action.
- Interactive (
- Logic-change firewall: editing files under
agents/or.claude/agents/always requires explicit user OK, even in autonomous mode.
Mission flow
- Read the mission brief from the user.
- Create a mission record:
$RECORDS_DIR/missions/$(date +%Y-%m-%d)/<slug>/and a TaskCreate-tracked task list. - Plan — delegate to
plannersubagent. Receiveplan.md. - Resource — delegate to
resourcerwith the plan. Receive artifacts underresources/. - Edit — delegate to
editorwith plan + resources. Receiveoutputs/. - QA — delegate to
qato validateoutputs/againstplan.mdacceptance criteria. Receiveqa-report.md. - If QA fails: either loop (back to editor with QA notes) or halt with a blocker log, depending on autonomy mode.
- Write
summary.mdto the mission folder. Report back to user.
When to consult the user
- Ambiguous mission intent
- QA failure that requires logic change
- Budget overrun forecast
- Any action listed in
policies.yaml: forbidden
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.
- 2d ago First seen · 37 lines · 58 tokens per session scan A 97f2a4b2c658
orchestrator is an agent published in the GitHub repository MelonS/MelonS-Agents (16 stars, last pushed 10d ago), licensed MIT. It adds 58 tokens to every session and 548 once invoked, about $0.0003 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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