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 dynatrace-oss/dynatrace-snowflake-observability-agent --skill pr-reviewergit clone --depth 1 https://github.com/dynatrace-oss/dynatrace-snowflake-observability-agentWrote 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/dynatrace-oss/dynatrace-snowflake-observability-agent/pr-reviewer)<a href="https://agentmods.dev/skills/dynatrace-oss/dynatrace-snowflake-observability-agent/pr-reviewer"><img src="https://agentmods.dev/badge/skills/dynatrace-oss/dynatrace-snowflake-observability-agent/pr-reviewer/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/dynatrace-oss/dynatrace-snowflake-observability-agent/pr-reviewer"><img src="https://agentmods.dev/badge/skills/dynatrace-oss/dynatrace-snowflake-observability-agent/pr-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00015 | $0.02654 |
| Opus 5 | $0.00008 | $0.01327 |
| Sonnet 5 | $0.00003 | $0.00531 |
| Haiku 4.5 | $0.00002 | $0.00265 |
Grade A, and why
pr-reviewer 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 — 358 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Pull Request Review and Comment Processing
Use this skill when asked to:
- Review a PR — read the diff, assess quality, post a structured review.
- Process review comments — fetch comments left by others, triage them, and act on them.
Required Input
| Input | Required | Description |
|---|---|---|
| PR number | yes | The GitHub pull request number (e.g. 80) |
| Product improvement notes | no | Feature/improvement brief that motivated this PR |
| Implementation plan | no | Ordered task list describing what the PR is supposed to do |
If the product improvement or implementation plan are not supplied, infer intent from the PR title, body, and diff — but note the gap when reporting findings.
Phase 1 — Gather Context
Run all reads in parallel where possible to minimise latency.
1a. Identify the repository
gh repo view --json nameWithOwner
# → { "nameWithOwner": "dynatrace-oss/dynatrace-snowflake-observability-agent" }
Store OWNER and REPO for all subsequent calls.
1b. Fetch PR metadata and diff
gh pr view <PR#> --json number,title,body,baseRefName,headRefName,state,author,labels,milestone
gh pr diff <PR#>
The diff is the primary artefact for a review. Read it fully before drawing any conclusions.
1c. Fetch all review threads (open and resolved)
Use the GitHub GraphQL API to get rich thread data including file paths, line
numbers, diff hunks, and resolution status. Request enough nodes to cover all
threads — increase the first: value if the PR is large.
gh api graphql -f query='
{
repository(owner: "<OWNER>", name: "<REPO>") {
pullRequest(number: <PR#>) {
title
body
reviewThreads(first: 50) {
nodes {
id
isResolved
isOutdated
path
line
originalLine
diffHunk
comments(first: 10) {
nodes {
databaseId
author { login }
body
createdAt
updatedAt
minimizedReason
}
}
}
}
reviews(first: 20) {
nodes {
author { login }
state
body
submittedAt
}
}
}
}
}'
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 · 358 lines · 15 tokens per session scan A 03af9c6d42ea
pr-reviewer is a skill published in the GitHub repository dynatrace-oss/dynatrace-snowflake-observability-agent (10 stars, last pushed yesterday), licensed MIT. It adds 15 tokens to every session and 2,654 once invoked, about $0.0001 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 2026-09-02.
Other skills, from other repositories
lean-review
CocoLean diff-scoped over-engineering audit — scans uncommitted git diff and applies five classification tags (delete/stdlib/native/yagni/shrink) to identify unnecessary surface area before commit.
review-implement-phase
Implements triaged review actions, commits focused fixes, and posts Done plus resolves threads. Use when the user wants only the implementation phase of the review-framework workflow.
github-pr-workflow
Prepare a GitHub pull request from a feature branch — branch hygiene, commit shape, title/body, verification notes, screenshots for UI work, and replies to review comments.
github-automation
GitHub workflow automation, PR management, issue tracking, and code review coordination. Integrates with GitHub Actions and repository management. Use when: PR creation, code review, issue management, release automation, workflow setup. Skip when: local-only changes, non-GitHub repositories.
review-delta
Review only changes since last commit using impact analysis. Token-efficient delta review with automatic blast-radius detection.
work-unit-commits
Plan commits as reviewable work units. Trigger: implementation, commit splitting, chained PRs, or keeping tests and docs with code.