Apache Magpie is a framework of agent-assisted workflows for maintaining Apache software projects, including issue triage, pull-request review, contributor mentoring, and security-report handling. Apache maintainers and developers use it to delegate repetitive project work to coding agents while retaining human review. Its catalogue entries are the skills, instructions, plugin, and settings that implement these workflows.
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 skills add apache/magpie --skill archive-sweepgit clone --depth 1 https://github.com/apache/magpieWrote 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/apache/magpie/archive-sweep)<a href="https://agentmods.dev/skills/apache/magpie/archive-sweep"><img src="https://agentmods.dev/badge/skills/apache/magpie/archive-sweep/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/apache/magpie/archive-sweep"><img src="https://agentmods.dev/badge/skills/apache/magpie/archive-sweep.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 | $0.00078 | $0.04301 |
| Opus 5.5 | $0.00031 | $0.01720 |
| Sonnet 5.5 | $0.00016 | $0.00860 |
| Haiku 4.5 | $0.00008 | $0.00430 |
Grade A, and why
archive-sweep scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 342 lines — stays where its author put it; the contents beside it link to each section on GitHub.
release-archive-sweep
Pre-flight — is this project set up?
Do this first, before anything else in this skill, and do it silently. One command answers it and carries its own rules; there is nothing else to read.
Run the checker with this skill's own frontmatter name: and
surface_hash:, and one --requires for each requires_config: entry:
PYTHONPATH=".apache-magpie-local:$(git rev-parse --git-common-dir)/../.apache-magpie-local:$(git rev-parse --git-common-dir)/apache-magpie" \
python3 -m setup_preflight --skill <name> --hash <surface_hash> [--requires <file>]...
The path finds the checker /magpie-setup:setup config installed in the
personal layer: this checkout's .apache-magpie-local/, the main
checkout's when this is a linked worktree, or the git directory's
apache-magpie/ when Magpie is only installed.
{"verdict": "ok"}→ silent. Continue into the work the user asked for and say nothing about pre-flight. This is the ordinary answer.{"verdict": "action", ...}→ each finding names a section, andrulescarries that section's text. Follow it. Thefactsare the inputs; what to propose, and what may not be done, are in the rules rather than here. Act on a finding only through its rules.- The command did not run at all — no such module, a non-zero exit, no
python3— → never read that as a pass, and do not re-derive the check by hand: it lives in code so that there is one version of it. If the project has no.apache-magpie.lock,.apache-magpie-overrides/, or personal layer (any of the three directories above), nothing has been set up here and there is nothing to reconcile — resolve this skill'srequires_config:entries yourself (first match wins:.apache-magpie-local/<file>, the main checkout's.apache-magpie-local/<file>,<git-common-dir>/apache-magpie/<file>, then.apache-magpie-overrides/<file>), stay silent if they all resolve, and run/magpie-setup:setup configfor this skill if any does not, which also installs the checker. Otherwise the project is set up and its checker is missing or stale: say so, propose/magpie-setup:setup configto install it or/magpie-setup:setup upgradeto refresh it, and carry on with the work.
What ships with it
10 files 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.
- 4d ago Changed · -49 lines 772f26e8a06d
- 5d ago Changed · +2 lines 9fc270cbb065
- 15d ago Changed · -41 lines d3a2fc44c1bd
- 16d ago Changed · +10 lines 2c528402eb55
- 21d ago Changed · -11 lines e71c37e70ab6
- 24d ago Changed · +1 lines 2abb772519d4
- 27d ago Changed · -4 tokens per session eb3d461d811a
- 28d ago Changed · -94 lines 0815ecbe10af
- 1mo ago Changed · +33 lines 6e30100ea5a6
- 1mo ago First seen · 491 lines · 82 tokens per session scan A e3de57de86a2
archive-sweep is a skill published in the GitHub repository apache/magpie (120 stars, last pushed today), licensed Apache-2.0. It adds 78 tokens to every session and 4,301 once invoked, about $0.0003 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 2026-09-14.
Other skills, from other repositories
batch
Research and plan a large-scale change, then execute it in parallel across 5–30 isolated worktree agents that each open a PR.
team-release
Orchestrate the release team — release-manager, qa-lead, devops-engineer, producer — to execute a release from candidate to deployment.
operating-github-cli
Default GitHub skill for the action agent. Use githubcli for any GitHub request — create/list/view/close issues and PRs, assign, labels, repos, releases, checks, github.com/owner/repo URLs, or gh api. Prefer over shellrun/!gh. Run these with githubcli in the current agent turn.
github
Drive GitHub via the official gh CLI — repos, issues, pull requests, releases, gists, Actions runs, and raw REST through gh api. Use when the user asks to inspect or manage GitHub.
testdino-releases
Use when the user wants to browse, inspect, create, or update releases/milestones in a TestDino project. Covers listreleases, getrelease, createrelease, and updaterelease. Accepts counter-style IDs like MS-12.
shiplog
Recap of everything shipped since the last run - cross-repo PRs, security fixes, star deltas, and X traction, synthesized into a digest article and a ready-to-post shiplog in your voice.