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 mrzhangguoguo/oh-my-workbuddy --skill best-practice-researchgit clone --depth 1 https://github.com/mrzhangguoguo/oh-my-workbuddyWrote 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/mrzhangguoguo/oh-my-workbuddy/best-practice-research)<a href="https://agentmods.dev/skills/mrzhangguoguo/oh-my-workbuddy/best-practice-research"><img src="https://agentmods.dev/badge/skills/mrzhangguoguo/oh-my-workbuddy/best-practice-research/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/mrzhangguoguo/oh-my-workbuddy/best-practice-research"><img src="https://agentmods.dev/badge/skills/mrzhangguoguo/oh-my-workbuddy/best-practice-research.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 | $0.00033 | $0.01264 |
| Opus 5.5 | $0.00013 | $0.00506 |
| Sonnet 5.5 | $0.00007 | $0.00253 |
| Haiku 4.5 | $0.00003 | $0.00126 |
Grade A, and why
best-practice-research scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ported from oh-my-codex
best-practice-research. OMX runtime conventions ($macroinvocation,omxCLI,.omx/state directory) are replaced with WorkBuddy idioms (Skill tool, Agent tool, task list,.workbuddy/memory).
Best-Practice Research
Use this skill when a task depends on current external best practices, version-aware guidance,
standards, official recommendations, or upstream behavior. This is a workflow wrapper: it routes
evidence gathering and synthesis; it is not a new research authority and it does not replace
WebSearch/WebFetch work.
Purpose
Produce a cited, reusable best-practice answer or handoff that separates current external evidence
from repo-local facts and dependency-selection decisions. For pre-planning investigation, this is
the ordinary first research wrapper: gather official/upstream evidence, then hand it to the plan
skill or the caller as planning input. Do not present best-practice-research as a final
architecture component or as a validator-gated research loop.
Terminal By Default
This skill is terminal and read-only by default. It gathers evidence and produces a cited
recommendation with a handoff, then stops. Do not write or edit files, create or amend commits, run
mutating commands, or otherwise modify repository state under this skill — even when the question has
clear implementation implications. When implementation is warranted, stop and hand off rather than
continuing: name the plan skill for planning and the Agent tool (or team/deep-interview skills)
for execution, and resume only after the user explicitly switches to that workflow.
Activate When
- The user asks for best practices, recommended approach, current guidance, official recommendations, standards, or version-aware external behavior.
- The
plan,deep-interview, orteamskill (or another workflow) needs current external evidence before planning or execution can be correct. - The task involves an already chosen technology and needs authoritative usage guidance, migration notes, API behavior, lifecycle rules, or current safety guidance.
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 · 106 lines · 33 tokens per session scan A bcedee19c4a3
best-practice-research is a skill published in the GitHub repository mrzhangguoguo/oh-my-workbuddy (2 stars, last pushed 3mo ago), licensed MIT. It adds 33 tokens to every session and 1,264 once invoked, about $0.0001 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 2026-08-31.
Other skills, from other repositories
claude-md-improver
Audit and improve CLAUDE.md files in repositories. Use when user asks to check, audit, update, improve, or fix CLAUDE.md files. Scans for all CLAUDE.md files, evaluates quality against templates, outputs quality report, then makes targeted updates. Also use when the user mentions "CLAUDE.md maintenance" or "project…
agent-platform-model-registry
Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.
gke-workload-security
Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running security audits (auditcluster.sh), enforcing Network Policies (default-deny and Dataplane V2 logging), isolating high-risk pods inside GKE Sandbox (gVisor), enforcing Pod…
gke-reliability
Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for generating K8s YAML manifests (use gke-manifest-generation) or disaster recovery…
google-cloud-solution-agentic-analytics-spark-knowledge-catalog
Discovers requirements and designs an end-to-end governed agentic analytics solution using Knowledge Catalog and Managed Service for Apache Spark (Lightning Engine). Use when designing data science and analytics workflows across structured and unstructured distributed data (including in S3, Azure Blob, AlloyDB, and…
glance-canonical-layouts
Use this skill to create home screen widgets using Jetpack Glance Canonical Layouts from the Android Platform Samples project, or when asked to implement standard widget layout patterns (including Check List, Image Grid, Snap Scrolling, and Standard Toolbar).