Repo Mirror Sources
netdata/netdata
Inspect Netdata-org source checkouts under NETDATAREPOSDIR, or set up and synchronize that mirror when requested.
Hands-on manual DX test pass of a feature or CLI command: read the real implementation and tests, hypothesize plausible user misunderstandings and misuse automated tests don't cover, build durable…
The automated check flagged lines worth reading first. See the safety section below.
$ npx skills add cloudposse/atmos --skill field-test -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install cloudposse/atmos field-test --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/cloudposse/atmos.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/field-test .claude/skills/field-test && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "field-test" agent skill from https://github.com/cloudposse/atmos/tree/main/.claude/skills/field-test into .claude/skills/field-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "field-test", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/cloudposse/atmos/tree/main/.claude/skills/field-testType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add cloudposse/atmos --skill field-test -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install cloudposse/atmos field-test --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cloudposse/atmos.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/field-test .agents/skills/field-test && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "field-test" agent skill from https://github.com/cloudposse/atmos/tree/main/.claude/skills/field-test into .agents/skills/field-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "field-test", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add cloudposse/atmos --skill field-test -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install cloudposse/atmos field-test --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cloudposse/atmos.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/field-test .cursor/skills/field-test && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "field-test" agent skill from https://github.com/cloudposse/atmos/tree/main/.claude/skills/field-test into .cursor/skills/field-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "field-test", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/cloudposse/atmos.git --path .claude/skills/field-test--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add cloudposse/atmos --skill field-test -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install cloudposse/atmos field-test --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cloudposse/atmos.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/field-test .gemini/skills/field-test && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "field-test" agent skill from https://github.com/cloudposse/atmos/tree/main/.claude/skills/field-test into .gemini/skills/field-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "field-test", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install cloudposse/atmos field-testInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add cloudposse/atmos --skill field-test -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/cloudposse/atmos.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/field-test .github/skills/field-test && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "field-test" agent skill from https://github.com/cloudposse/atmos/tree/main/.claude/skills/field-test into .github/skills/field-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "field-test", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add cloudposse/atmos --skill field-test -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install cloudposse/atmos field-test --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cloudposse/atmos.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/field-test .opencode/skills/field-test && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "field-test" agent skill from https://github.com/cloudposse/atmos/tree/main/.claude/skills/field-test into .opencode/skills/field-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "field-test", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
field-testHands-on manual DX test pass of a feature or CLI command: read the real implementation and tests, hypothesize plausible user misunderstandings and misuse automated tests don't cover, build durable…
Field Test is an agent skill from cloudposse/atmos. Hands-on manual DX test pass of a feature or CLI command: read the real implementation and tests, hypothesize plausible user misunderstandings and misuse automated tests don't cover, build durable fixtures, execute for real against real state, and report ranked findings. Investigation only — never fixes anything found. Defaults to testing whatever the current branch changed vs its base branch when no explicit target is given. Invoke on explicit requests like 'field test X' / 'do a DX test pass on X' / 'find…
Its SKILL.md is about 4.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in DevOps & Cloud. It works with Git. The repository describes itself as: Atmos is the open-source runtime for infrastructure — it builds, authenticates, and ships Terraform, OpenTofu, Packer, Ansible, Kubernetes, Helm, and containers the same way on… The licence is Apache-2.0.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit bbe58a6. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
gitghterraformFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git and gh, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Field Test loads about 4.6k tokens when it runs. Until then it costs about 143 tokens; SKILL.md has 2,654 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found patterns that need a careful read before installing.
Mode` to request approval of that plan. Don't ask for approval any other way.Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from cloudposse/atmos at commit bbe58a6, republished under its Apache-2.0 licence (© cloudposse). 2,654 words, ~4,648 tokens.
.claude/skills/field-test/SKILL.md (or your agent's skills folder).Hands-on, adversarial test pass of $ARGUMENTS (the feature/command named when this skill
was invoked, e.g. atmos vendor pull).
If no target was given, default to the change introduced on the current branch rather than
asking. Resolve the actual pull-request base branch when one is available
(gh pr view --json baseRefName -q .baseRefName for the current branch), falling back to the
repository's default branch (gh repo view --json defaultBranchRef -q .defaultBranchRef.name)
when no PR exists yet. Do NOT use the upstream tracking branch (@{u}) as the base — for a normal
feature branch that tracks origin/<same-branch-name>, diffing against its own upstream produces
an empty or near-empty diff, not the PR's actual changes, once the branch has been pushed.
A branch NAME from gh (e.g. develop) is not guaranteed to be a usable git ref in THIS checkout
— shallow clones, detached HEADs, and worktrees with a narrow fetch refspec can have the name
without the commits. Before running any diff, verify the base actually resolves here
(git rev-parse --verify --quiet <candidate>^{commit}), trying in order: origin/<resolved-name>,
<resolved-name> — take the first that verifies. Do not fall back to origin/main/main when
resolved-name came from an actual PR base other than the default branch (e.g. a PR targeting
develop) — diffing against main instead of the PR's real base compares against the wrong
history and can silently miss real changes or include unrelated ones. origin/main/main are
legitimate fallback candidates only in the no-PR case (gh pr view returned nothing, so
resolved-name already IS the repository's default branch) or when gh itself isn't available at
all. If a known, non-default PR base doesn't resolve as either origin/<resolved-name> or
<resolved-name>, stop and ask the user which base to diff against — do not run `git diff
<base>...` against an unverified ref and let it fail with a confusing git error, and do not
silently substitute a different branch for a known PR base. Once a real base is confirmed, inspect
the FULL set of
changes relative to that base — content, not just a file-list summary: `git diff <base>...HEAD`
(the full patch, not `--stat`, since `--stat` only shows file names and line counts, not what
those lines actually do) for committed history; `git diff HEAD` for any staged/unstaged changes
to tracked files not yet committed; and `git ls-files --others --exclude-standard` to enumerate
untracked files — `git status --porcelain` lists their paths too but never their content, and
neither `git diff HEAD` nor a `--stat` summary includes untracked files at all, so a brand-new
implementation file can otherwise go completely unread. Read the actual content of every
untracked file this turns up, the same as any diff hunk. Derive the test target from all of
that — the CLI command(s), flag(s), config option(s), or subsystem the changed files implement —
and state explicitly what you inferred and why before proceeding to Phase 1. Only fall back to
asking the user if no candidate base ref resolves at all, there's truly nothing changed (clean
worktree, base equals HEAD, no untracked files), or the changes span multiple unrelated features
with no coherent single target (ask which one to focus on, don't silently pick one).
Goal: catch "vibe-coded slop" — behavior that looks fine in code review but breaks or misleads a real user — not to re-run what automated tests already cover. Anticipate plausible user misunderstandings, not just obvious bugs.
This pass is investigation only. Do not fix anything you find — see Phase 5. Report and stop;
the user decides what to fix. Any follow-up fix work — including a plan to fix the findings, not
just the implementation — must close with the fix-log skill, not this one.
If plan mode is active when this skill is invoked (a <system-reminder> says so), Phase 3
(Build fixtures) and Phase 4 (Execute) can't run inline — writing fixture files and running real,
sometimes state-mutating commands are exactly what plan mode exists to gate.
ExitPlanMode to request approval of that plan. Don't ask for approval any other way.The goal is a map of "documented or plausible usage" minus "already tested" = what needs manual
verification. This phase is broad, read-only research — delegate it to Agent subagent_type: "Explore" (1-3 agents in parallel, one per bullet below) rather than doing it all serially inline.
When defaulting to the current branch (no explicit target given), scope every bullet below to the target inferred from the branch diff — don't research the whole surrounding subsystem when the branch only touched one corner of it. If the branch's changed files span more than one command or package, treat each as a separate target to cover in Phase 2-4, prioritized by how much of the diff each accounts for.
pkg/ packages per this repo's conventions, but internal/exec/ is still where a large amount
of existing logic lives during its ongoing migration, so a branch touching files there must
still be read, not skipped. Check both cmd/<command>/ (thin call site) and whichever
pkg//internal/exec/ package(s) it delegates to for the real logic and error paths. When
defaulting from a branch diff, read the full diff content itself first (not just the post-change
files, and not just a --stat summary) — the diff shows what changed from, which is where a
regression or half-finished edge case would show up. Include untracked files
(git ls-files --others --exclude-standard) in this reading pass too — they never appear in any
diff at all.website/docs/cli/commands/, the matching
.claude/skills/atmos-* skill(s) for the subsystem, and any README describing the feature. Note
anything phrased with confidence you haven't independently confirmed against the code — docs and
skills describe intended behavior, not necessarily current behavior. A capability can be
documented on one page and missing from another that also covers it (a reference page, the
skill's own summary, a related subsystem doc that mentions it in passing) — check every doc
surface for the feature, not just the primary one. Also re-read each doc for internal
self-contradiction: a rule stated in one paragraph can be silently overridden or contradicted by
an example or a later paragraph in the same file.tests/test-cases/ fixtures,
tests/testdata/ golden snapshots. For each, note exactly what it does and doesn't exercise
(mocked vs. real execution, which flags/paths/backends are hit)..mdx's <dl> — every registered flag needs a matching <dt>, and every
documented flag needs to actually be registered.Before running anything, write down concrete things to try, prioritized by what a real user would plausibly do:
plan/preview/--dry-run/list/describe) that might secretly
mutate state or trigger side effects, if built the same way as a mutating command — Atmos has
many of these pairs (e.g. terraform plan vs apply, vendor diff vs pull), so this is a
high-yield category here specifically.ui.Success/ui.Error/ui.Warning/ui.Info (icon + theme color) per
CLAUDE.md's I/O and UI Usage section, rather than a hand-rolled glyph ("✓ %s", "✗ %s") printed
through the plain ui.Writef/ui.Write — the two are easy to conflate since both compile and
both "print a checkmark," but only the semantic function is themed/colored. This class of bug
is easy to miss when every command in this pass has been run through the Bash tool — captured
output can look fine in the transcript even when the real behavior (silent hang, unstyled text)
would be obvious to a human watching a real terminal. This needs two separate checks, not one
piped command doing double duty — piping through cat -v makes the command non-TTY, which
exercises the non-live fallback renderer instead of the real live-progress path, and
--force-color does not restore TTY behavior:script -q /dev/null build/atmos toolchain update --force-tty --force-color), and watch it —
does a spinner/progress bar actually redraw in place, or does it silently buffer and dump
everything at once?--force-color run through cat -v (or grep for the raw
\x1b[ / ^[[ escape sequence) to confirm color codes are actually present around each status
line, not just plain text with a Unicode glyph. Piping is fine here since this check only cares
about styling, not live-rendering behavior.v1.2.3 vs 1.2.3, the one equivalence normalizeVersion
actually handles by stripping a leading v — don't test casing or trailing-metadata variants
unless the specific normalizer under test explicitly documents supporting them). A raw
string-equality comparison will misreport a no-op as a change, which also tends to corrupt
whatever summary/count line tallies outcomes — check the tally against the individual lines
above it, don't just trust it.tests/test-cases/, examples/, demo/) over
inventing one from scratch.atmos-emulator skill). Don't rely solely on mocked/dry-run paths, since that's
exactly what's already covered by automated tests.tests/test-cases/, tests/testdata/, or
tests/snapshots/ — regenerate them via -regenerate-snapshots per CLAUDE.md's Golden Snapshots
section.atmos build) if the change under test
isn't already reflected in ./build/atmos.Updated N, up to date M, failed K), manually
recount the individual lines above it and compare — don't trust the tally at face value. A
miscounted summary is a strong signal the classification logic feeding it is wrong somewhere,
not just a cosmetic issue.require.Error (or similarly loose) without pinning down which error —
ErrorIs/ErrorAs against the actual sentinel — is itself a field-test finding worth reporting,
not just something to note in passing.For every finding: exact repro command(s), expected vs. actual output, and severity (silent data loss/mutation > crash on reasonable input > confusing error message > cosmetic). Rank the report by severity, most dangerous first. Explicitly call out anything verified as working correctly too — a report that's only bad news is as misleading as one that's only good news.
Keep a running scratch log of findings as you go (in your own working notes/task list) rather than reconstructing everything at the end from memory — but don't commit that log. Per CLAUDE.md's Git section, scratch/research files never get committed; only the fixtures built in Phase 3 (if kept for lasting value) and this final report are durable output.
Do not fix anything found — this pass is investigation only. Stop and report; the user decides what
to fix. If a plan gets made to fix any finding — whether right away or as a later follow-up,
even in a different session — that plan and its implementation must close with the fix-log
skill so the fix leaves a durable record under docs/fixes/. End by invoking the say skill — a
completed test pass reaching a stopping point a human should review is exactly its trigger.
ExitPlanMode before building fixtures or executing.Explore agent — Phase 1's broad read-only research.atmos-emulator skill — real local infra for Phase 3/4 when the target touches
AWS/GCP/Azure/Kubernetes.docs skill — conventions for the CLI docs being cross-checked in Phase 1.fix-log skill — required for any follow-up fix work, including a plan to fix findings,
once the user decides what to fix; out of scope here.say skill — end-of-pass notification.© cloudposse, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .claude/skills/field-test of cloudposse/atmos.
Open the folder on GitHubat commit bbe58a6
Field Test next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Field Test this skillcloudposse/atmos | 1.4k | — | ~4.6k | Automated safety check: Warn | Apache-2.0 | |
| Repo Mirror Sourcesnetdata/netdata | 81k | — | ~1.2k | Automated safety check: Notes | GPL-3.0 | |
| CI Failure Triage and RepairChachamaru127/claude-code-harness | 3.2k | 1 repos | ~1.1k | Automated safety check: Notes | MIT | |
| Bfe Rd Workflowbfenetworks/bfe | 6.3k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Ssh Skillbadseal/ssh-skill | 535 | — | ~2.4k | Automated safety check: Notes | None | |
| GreptimeDB Release RunbookGreptimeTeam/greptimedb | 6.7k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 |
netdata/netdata
Inspect Netdata-org source checkouts under NETDATAREPOSDIR, or set up and synchronize that mirror when requested.
Chachamaru127/claude-code-harness
Diagnoses failing CI pipelines and tests, deciding first whether the test or the implementation is at fault, and hands hard cases to a dedicated fixer subagent.
bfenetworks/bfe
引导用户在 bfe 代码库中完成一次完整的功能研发流程,包括需求对齐、文档修改、代码实现、集成测试与回归验证. An agent skill from bfenetworks/bfe.
badseal/ssh-skill
A skill your agent uses when a task requires SSH or SCP/SFTP behavior, a remote server, server alias/IP/hostname/user@host, bastion or jump-host access, remote command execution, upload/download…
GreptimeTeam/greptimedb
Runbook for publishing a GreptimeDB version: pick the release branch, verify the Cargo version, then tag, create the GitHub release and open the docs note PR.
openclaw/crabbox
Gets you running your repository's tests in a disposable Docker or Podman container on your own machine with Crabbox, with no account and no cloud spend.
cloudposse/atmos
A skill your agent uses when implementing, finishing, documenting, or reviewing a fix, repair, remediation, bug fix, debug-and-fix task, workflow fix, infrastructure fix, or any change that should…
cloudposse/atmos
Atmos Terraform linting with TFLint: standalone atmos terraform lint, component-aware config discovery and toolchain versions, TFLint rule configuration, and lifecycle hooks/CI findings.
cloudposse/atmos
Blog post authoring for Atmos: MDX template, frontmatter, website/blog/tags.yml and authors.yml rules, problem-first framing, backtick-opening ban, optional cast embeds, and no-Go-internals leakage.
cloudposse/atmos
Decide whether a PR's new or changed default needs edition-journal handling (pkg/edition, docs/prd/editions.md), and do the mechanical work if so: journal entries, the four-layer default check…
cloudposse/atmos
Migrate to Atmos from native Terraform, Terraform Workspaces, Terramate, Terragrunt, Make, Just, or Task; migrate tool versions from mise or Aqua CLI; migrate AWS/GCP/Azure CLI configs, Leapp…
cloudposse/atmos
Start an hourly background loop that keeps the current branch's PR rebased, its addressed CodeRabbit threads resolved, its CI checks passing, its lint clean, its tests passing with adequate patch…
Works with
Categories
Hands-on manual DX test pass of a feature or CLI command: read the real implementation and tests, hypothesize plausible user misunderstandings and misuse automated tests don't cover, build durable…. Field Test is an agent skill from cloudposse/atmos. Hands-on manual DX test pass of a feature or CLI command: read the real implementation and tests, hypothesize plausible user misunderstandings and misuse automated tests don't cover, build durable fixtures, execute for real against real state, and report ranked findings.
Field Test fits situations like: devOps & Cloud work in your project.
Run `npx skills add cloudposse/atmos --skill field-test -a claude-code`. Or copy the skill folder (.claude/skills/field-test in cloudposse/atmos) into .claude/skills/field-test in your project. Claude Code loads it when a task matches its description.
Run `npx skills add cloudposse/atmos --skill field-test -a codex`. Or copy the skill folder (.claude/skills/field-test in cloudposse/atmos) into .agents/skills/field-test in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add cloudposse/atmos --skill field-test -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/field-test, .gemini/skills/field-test, .github/skills/field-test and .opencode/skills/field-test in your project.
Going by SKILL.md and its folder, Field Test needs the command-line tools its instructions call (git, gh and terraform).
SKILL.md contains no URLs. Its commands use git and gh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md flagged 1 warning(s): tells the agent its actions are pre-authorized / not to stop for confirmation. Read the flagged lines before installing; the check is not a guarantee either way.
Field Test is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.6k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Field Test: Repo Mirror Sources (netdata/netdata, 81k stars), CI Failure Triage and Repair (Chachamaru127/claude-code-harness, 3.2k stars), Bfe Rd Workflow (bfenetworks/bfe, 6.3k stars) and Ssh Skill (badseal/ssh-skill, 535 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
cloudposse (a GitHub organization) maintains it in cloudposse/atmos, which has 1,395 GitHub stars. The repository holds 70 skills in this directory. The repository was last updated on October 7, 2026.
Source: cloudposse/atmos on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.