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 good-first-issue-authorgit 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/good-first-issue-author)<a href="https://agentmods.dev/skills/apache/magpie/good-first-issue-author"><img src="https://agentmods.dev/badge/skills/apache/magpie/good-first-issue-author/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/good-first-issue-author"><img src="https://agentmods.dev/badge/skills/apache/magpie/good-first-issue-author.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 205 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00066 | $0.03805 |
| Opus 5.5 | $0.00026 | $0.01522 |
| Sonnet 5.5 | $0.00013 | $0.00761 |
| Haiku 4.5 | $0.00007 | $0.00380 |
Grade A, and why
good-first-issue-author scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.
good-first-issue-author
Pre-flight — is this project set up?
Do this first, before anything else in this skill, and do it silently. One command answers it and carries its own rules; there is nothing else to read.
Run the checker with this skill's own frontmatter name: and
surface_hash:, and one --requires for each requires_config: entry:
PYTHONPATH=".apache-magpie-local:$(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
4 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.
- 5d ago Changed · +2 lines eea30fbcfcf4
- 15d ago Changed · +14 lines ce4b8225ad5b
- 18d ago Changed · -7 lines · -74 tokens per session 4709a9e08440
- 24d ago Changed · +1 lines 81a03f9836ad
- 27d ago Changed · -2 tokens per session 7ea3076971b9
- 28d ago Changed · -94 lines 586bd6591e01
- 1mo ago Changed · +33 lines 7816a427d172
- 1mo ago Changed · +66 lines 1ccf7882f1a2
- 1mo ago Changed · +45 lines fa2fa9c10009
- 1mo ago First seen · 228 lines · 142 tokens per session scan A be1344d8e5bf
good-first-issue-author is a skill published in the GitHub repository apache/magpie (120 stars, last pushed today), licensed Apache-2.0. It adds 66 tokens to every session and 3,805 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 2026-08-30.
Other skills, from other repositories
aip-tracker
Track Airflow Improvement Proposal (AIP) implementation progress by comparing Confluence specs against codebase evidence. Use when asked to assess, report on, or compare AIP status.
sql-reporting
Conventions and review steps for writing analytics SQL against the warehouse. Use whenever the task involves querying tables, building a report, or aggregating metrics.
performing-endpoint-vulnerability-remediation
Performs vulnerability remediation on endpoints by prioritizing CVEs based on risk scoring, deploying patches, applying configuration changes, and validating fixes. Use when remediating findings from vulnerability scans, responding to critical CVE advisories, or maintaining endpoint compliance with patch management…
cyberowlai
Check if recent cybersecurity alerts from 10 international CERTs affect your current project. Use when the user asks about security vulnerabilities, CVEs, "is my project affected", "any new security alerts", "check for vulnerabilities", "cyberowlai", or "/cyberowlai". Also trigger when the user is working on…
vulnerability-db
A practical guide for AI agents that need to use vdb. If you are changing the code rather than using it, read AGENTS.md instead.
analyzing-sbom-for-supply-chain-vulnerabilities
Parses Software Bill of Materials (SBOM) in CycloneDX and SPDX JSON formats to identify supply chain vulnerabilities by correlating components against the NVD CVE database via the NVD 2.0 API. Builds dependency graphs, calculates risk scores, identifies transitive vulnerability paths, and generates compliance reports.…