Borrowing it
Nothing to install: this file belongs to adityash8/openai-ads-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/adityash8/openai-ads-mcp/main/.claude/skills/maintainer-orchestrator/SKILL.mdgit clone --depth 1 https://github.com/adityash8/openai-ads-mcpWrote 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/adityash8/openai-ads-mcp/maintainer-orchestrator)<a href="https://agentmods.dev/skills/adityash8/openai-ads-mcp/maintainer-orchestrator"><img src="https://agentmods.dev/badge/skills/adityash8/openai-ads-mcp/maintainer-orchestrator/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/adityash8/openai-ads-mcp/maintainer-orchestrator"><img src="https://agentmods.dev/badge/skills/adityash8/openai-ads-mcp/maintainer-orchestrator.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 | $0.00105 | $0.02092 |
| Opus 5 | $0.00053 | $0.01046 |
| Sonnet 5 | $0.00021 | $0.00418 |
| Haiku 4.5 | $0.00011 | $0.00209 |
Grade A, and why
maintainer-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 10d 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 — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Maintainer Orchestrator
A control-plane skill: inspect, classify, act, monitor, and report. It does not invent product direction — it moves the existing backlog toward a clean, green, reviewed state and escalates anything that needs a human decision.
This skill is designed to run autonomously inside a Claude Code Routine
(claude.ai/code/routines) — a cloud session with no permission prompts — but
also works when invoked by hand in an interactive session.
The loop (one run)
Each run is one pass. Do these in order, then stop.
- Scope (owner-guarded). Determine the target repositories.
- If the Routine cloned multiple repos, act on all of them; if invoked in a single repo with a GitHub remote, act on that repo only.
- Owner allowlist: only operate on repos whose owner is
adityash8orITSEZMONEY. Skip any cloned repo outside those owners entirely — no triage, no PR, no merge — and record the skip in the run summary, never in the skipped repo (you have no business writing to it). - Do not broaden beyond the cloned/selected repos unless the prompt says
all/org-wide.
- Triage. Invoke the
github-project-triageskill to build item cards for every open issue and PR (URL, what/why, author trust, fit, risk, proof/test state, blockers, next action) and sort them into three buckets: autonomous · needs-owner · defer/close. - Read the ledger (single, race-safe). Locate the repo's ledger by the
maintainer-ledgerlabel (canonical), falling back to the exact title🤖 Maintainer Loop — Ledger. Exactly one must stay open. If several are open — two runs can race and each create one — keep the lowest-numbered open ledger, close the rest as duplicates (state_reason: duplicatewithduplicate_ofset to the survivor), and continue on the survivor. If none exists, create it, ensure themaintainer-ledgerlabel exists, and apply it. Never open a second ledger when one is already open. The ledger is the durable memory across runs (cloud sessions are ephemeral); skip anything it marks resolved orwontfix. - Act on autonomous items, one at a time, verifying each before moving on (see Autonomy policy below). Stop touching an item the moment it stops meeting the bar and reclassify it as needs-owner.
- Escalate needs-owner items. Don't guess at product/direction/secret
decisions. Label
needs-owner, leave a one-paragraph comment stating the decision required and the options, and record it in the ledger. - Defer/close stale, duplicate, or superseded items with a short reason.
- Report. Update the ledger issue with what changed this run (landed, escalated, deferred, still-in-flight) and the timestamp. Keep it skimmable.
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.
- 10d ago First seen · 175 lines · 105 tokens per session scan A 9b70f2088326
maintainer-orchestrator is a skill published in the GitHub repository adityash8/openai-ads-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 105 tokens to every session and 2,092 once invoked, about $0.0005 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 2026-08-31.
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