APM is a package manager for AI-agent configuration, using a manifest to declare reusable instructions, skills, prompts, agents, hooks, plugins, and MCP components. Development teams use it to reproduce agent setups across projects and control their dependencies through policies and lockfiles, while the catalogue contains many of these agent components.
Borrowing it
Nothing to install: this file belongs to microsoft/apm. 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/microsoft/apm/main/.agents/skills/autopilot-issue-delivery-scheduler/SKILL.mdgit clone --depth 1 https://github.com/microsoft/apmWrote 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/microsoft/apm/autopilot-issue-delivery-scheduler)<a href="https://agentmods.dev/skills/microsoft/apm/autopilot-issue-delivery-scheduler"><img src="https://agentmods.dev/badge/skills/microsoft/apm/autopilot-issue-delivery-scheduler/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/microsoft/apm/autopilot-issue-delivery-scheduler"><img src="https://agentmods.dev/badge/skills/microsoft/apm/autopilot-issue-delivery-scheduler.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 | $0.00101 | $0.01686 |
| Opus 5.5 | $0.00040 | $0.00674 |
| Sonnet 5.5 | $0.00020 | $0.00337 |
| Haiku 4.5 | $0.00010 | $0.00169 |
Grade A, and why
autopilot-issue-delivery-scheduler 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.
How it starts
The opening of the file, as written. The whole thing — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.
autopilot-issue-delivery-scheduler
User-facing ACCEPTED-ISSUE implementation queue. This skill SELECTS authorized issues and THROTTLES fan-out. It does not triage and does not review PRs.
Compose autopilot-issue-delivery-worker
one issue per slot. Never borrow slots from
autopilot-issue-triage-scheduler,
autopilot-pr-review-scheduler, or
autopilot-pr-triage-scheduler.
Activation card
activation_card: on. Before any queue read or spawn, emit
this Enter card with every field filled. Missing field -> stop.
skill: autopilot-issue-delivery-scheduler
skill_path: <resolved directory of this SKILL.md>
mode: run
subject: microsoft/apm
path: delivery
intent: select accepted issues and fan out delivery workers
origin: unattended | actor-session
write: off
repo: microsoft/apm
fanout_limit: <positive integer>
invocation: agentic-workflow | actor-session
Rules:
writeis alwaysoff. This scheduler never comments, labels, assigns, or requests reviewers.write: on-> stop.originfail-closed unknown ->unattended.invocationis the harness. Copilot App, local session, Cloud Agent, and Remote Agent areactor-session.agentic-workflowis only gh-aw / GitHub Actions. Do not copyoriginintoinvocation.- One queue. Do not nest another scheduler path.
After the run, emit this Exit receipt:
skill: autopilot-issue-delivery-scheduler
subject: microsoft/apm
path: delivery
write: off
queued: <integer>
spawned: <integer>
approved: n/a
Invocation
Works in local sessions, Copilot App automations, Cloud Agent, Remote Agent, and Agentic Workflows.
Resolve ORIGIN before any GitHub write:
unattended-- workers still run; they must not assign.actor-session-- workers treat assignment as a hard gate before any implementation. Assignment is the public signal of which user is working the issue.
Ownership writes:
- Issue triage: none (no assignment needed)
- Code (accepted implementation): assign the implementing user (
@me) - PR review: request the reviewing user as reviewer, never assignee
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 194 lines · 101 tokens per session scan A 7c66ce23e441
autopilot-issue-delivery-scheduler is a skill published in the GitHub repository microsoft/apm (4,133 stars, last pushed yesterday), licensed MIT. It adds 101 tokens to every session and 1,686 once invoked, about $0.0004 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 2026-09-17.
Other skills, from other repositories
work-the-frontier
Build every ready task in parallel — implementer sub-agents on the dependency frontier, each in its own worktree, merged onto one integration branch.
gsd-quick
Execute a quick task with GSD guarantees (atomic commits, state tracking) but skip optional agents.
gsd-complete-milestone
Archive completed milestone and prepare for next version.
gsd-quick-batch
Batch several /skill:gsd-quick-shaped tasks together — planned, dispatched, and merged as one run.
gsd-workspace
Manage GSD workspaces — create, list, or remove isolated workspace environments.
gsd-inbox
Triage and review open GitHub issues and PRs against project templates and contribution guidelines.