Aqua Metrics
oracle/accelerated-data-science
Set up Prometheus and Grafana monitoring for AQUA vLLM model deployments on OCI.
This repo is indexed by graft/. An agent skill from m4r1k/Eneru.
$ npx skills add m4r1k/Eneru --skill graft -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install m4r1k/Eneru graft --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/m4r1k/Eneru.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/graft .claude/skills/graft && 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 "graft" agent skill from https://github.com/m4r1k/Eneru/tree/main/.claude/skills/graft into .claude/skills/graft/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graft", 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/m4r1k/Eneru/tree/main/.claude/skills/graftType 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 m4r1k/Eneru --skill graft -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install m4r1k/Eneru graft --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/m4r1k/Eneru.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/graft .agents/skills/graft && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "graft" agent skill from https://github.com/m4r1k/Eneru/tree/main/.claude/skills/graft into .agents/skills/graft/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graft", 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 m4r1k/Eneru --skill graft -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install m4r1k/Eneru graft --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/m4r1k/Eneru.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/graft .cursor/skills/graft && 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 "graft" agent skill from https://github.com/m4r1k/Eneru/tree/main/.claude/skills/graft into .cursor/skills/graft/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graft", 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/m4r1k/Eneru.git --path .claude/skills/graft--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 m4r1k/Eneru --skill graft -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install m4r1k/Eneru graft --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/m4r1k/Eneru.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/graft .gemini/skills/graft && 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 "graft" agent skill from https://github.com/m4r1k/Eneru/tree/main/.claude/skills/graft into .gemini/skills/graft/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graft", 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 m4r1k/Eneru graftInstalls 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 m4r1k/Eneru --skill graft -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/m4r1k/Eneru.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/graft .github/skills/graft && 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 "graft" agent skill from https://github.com/m4r1k/Eneru/tree/main/.claude/skills/graft into .github/skills/graft/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graft", 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 m4r1k/Eneru --skill graft -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install m4r1k/Eneru graft --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/m4r1k/Eneru.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/graft .opencode/skills/graft && 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 "graft" agent skill from https://github.com/m4r1k/Eneru/tree/main/.claude/skills/graft into .opencode/skills/graft/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graft", 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.
graftThis repo is indexed by graft/. An agent skill from m4r1k/Eneru.
Graft is an agent skill from m4r1k/Eneru. This repo is indexed by graft/. For ANY task here, whether understanding how something works, finding where code lives, tracing what calls a symbol or what a change breaks, or scoping an edit, get your context from graft before grepping or reading source files.
Its SKILL.md is about 2.3k 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, covering Monitoring and alerting. It works with Docker, Prometheus, Linux and Grafana. The repository describes itself as: ⚡ UPS monitoring and shutdown orchestration for NUT: multi-UPS policy, VM/container/remote shutdown, TUI, API, Prometheus, MQTT, Grafana, and persistent notifications. The licence is MIT.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e2a4f30. 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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
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.
Graft loads about 2.3k tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 1,388 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 no risky patterns in SKILL.md.
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 m4r1k/Eneru at commit e2a4f30, republished under its MIT licence (© m4r1k). 1,388 words, ~2,272 tokens.
.claude/skills/graft/SKILL.md (or your agent's skills folder).graft/ holds a graph of this repo: small markdown nodes that each explain one
part in prose and name the exact file:line spans they cover, plus a wiring
graph of who-calls-what. Querying a node costs a few hundred tokens; rebuilding
that understanding by reading source costs thousands, and misses the edges.
Each command below is a local graft command, needs no API key, and returns in
under a second.
There are six of them. Pick the one that fits the task, run it, act on the
answer; don't chain tools hoping for more. Most tasks need one call.
graft ask "<question>" --source: locate + understand (the default)Ranked retrieval over the graph, routed automatically between prose nodes and
the wiring graph, returning the top hits with exact file:line.
--source inlines the code at each hit, the ≤8-line crux of each
definition, so the result IS the code you need, no follow-up file read. Add
--full only when the crux is too small to act on.--in <path> narrows to a subtree before ranking; -n N caps results (default 8).graft grep "<pattern>": exhaustive findRegex (or --fixed for a literal) over every indexed file, hits grouped by
enclosing symbol and ranked by coupling; it also reports files it couldn't read.
ask is ranked top-N and will miss instances;
grep won't. One grep replaces a spray of asks.func (s *Server) GenerateHandler) returns nothing even
when the code is indexed. If a grep misses, loosen it (drop the receiver
and signature, keep the bare name) and retry graft grep — do NOT switch to
raw grep -rn, which is slower and unranked.-i case-insensitive; --in <path> scopes to a subtree. Raw grep -rn is
only for files graft genuinely doesn't index (docs, configs, brand-new files).graft skeleton <file>: a file's API at a glanceSignatures-only view of one file (every function / method / type with its span) in ~200 tokens, ~10x cheaper than reading the file.
map already named.graft callers <symbol>: the exact edgesPrecomputed call/reference edges, not a text search. Symbol can be bare
(Foo), qualified (Class.method), or package-qualified (pkg.Fn).
--direction in: who calls/references this; run before you
rename, delete, or change its signature.--direction out: what this symbol itself calls/depends on (the old callees).--depth N: walk transitively N hops for the full blast radius (the old
impact); --depth 2 is the usual "what breaks if I touch this".--depth all: the entire connected closure — every source reachable
through the edges. Reach for this before a refactor, rename, or any
multi-file change: it surfaces the sibling and downstream files (platform
variants, a module you must split out) that a single-file edit would miss.graft map: orientation for an unfamiliar repo or areaA token-budgeted tour: directory clusters, per-directory hubs, and global hotspots, straight from the wiring graph.
map alone is the answer: read the hub cards it names; do NOT then skeleton
or ask your way through every subsystem it lists. --max-dirs N widens it.graft build / graft checkEvery tool above refreshes the graph itself before answering, so what those tools
return always describes the code as it is right now — including edits you just made
and have not committed. You do not need to run build after editing.
One caveat, if you grep the markdown under graft/ directly: those cards are a
projection, rebuilt at the end of the turn rather than on each query, so after an edit
they can lag. The tools above never do — prefer them, and treat a card's spans as
stale if you have edited that file this turn.
build is for the LLM layer (--deep adds a concept map; skip unless asked);
check fails when graft/ is stale, for CI.
| When you're… | Reach for | Calls |
|---|---|---|
| Onboarding / "explain this codebase" | graft map, then read the named hub cards | 1 |
| Understanding a flow ("how does X work") | graft ask "<flow>" --source | 1 |
| Finding where a change belongs | graft ask "where is <behavior>" --source | 1 |
| Editing a symbol you can already name | graft grep "<symbol>", edit at the file:line (skip ask — you know where it is) | 1 |
| Renaming / deleting / changing a signature | graft callers <sym> --depth 2 first | 1 |
| Refactor / multi-file change (before editing) | graft callers <sym> --depth all — map every connected file, don't stop at the first | 1 |
| "What does this depend on?" | graft callers <sym> --direction out | 1 |
| Finding every occurrence of a pattern | graft grep "<literal>" | 1 |
| "What's the API of this file?" | graft skeleton <file> | 1 |
| Debugging a failure in area X | graft ask "<symptom>" --source, then callers on the suspect | 1–2 |
| Judging a diff's risk before merge | graft callers <changed sym> --depth 2 | 1 / symbol |
| Working inside one repo of a monorepo | add --in <scope>/ to ask / grep / callers | n/a |
In a multi-repo workspace, graft ranks fairly so the biggest repo can't drown
the rest, and every hit carries a [scope/] label naming its sub-project; when
you already know where you're working, narrow with graft ask "<task>" --in <scope>/.
covers: list already gives exact file:line for every symbol, so
cite straight from it. The spans are generated from source and authoritative;
don't re-open or re-grep files to "double-check".graft grep "<symbol>" for the exact file:line, then edit. Reserve
graft ask for when you don't yet know where the code lives — an ask
round-trip is wasted on a target you can already name.graft grep
the symbol to find where it lives now, or run graft build to refresh.Each retrieval tool opens its output with a [graft] tokens saved ≈ N line:
the estimated tokens that call saved versus reading the files it covers whole.
Whenever you used any graft tool in a turn, close your reply with a one-line
tally summing those numbers across every graft call you made, e.g.
🌱 graft saved ~12,400 tokens this turn (3 calls). A call with no such line
(tiny files, where the pointers cost as much as the source) saved nothing, so
skip it. This is the per-turn figure; the statusline carries the running
session total.
Never pipe a graft command through head, tail, or sed -n. Every tool
is already capped and states what it dropped; clipping it costs you hits you
asked for, and it silently drops the savings line the statusline's running
total is parsed from.
file:line, never a whole file to rebuild understanding graft gives.graft/ directly (plain markdown;
graft/INDEX.md indexes the nodes), but the tools above are faster and
exhaustive where it matters, so reach for them first.When the graft MCP server is connected, these are exposed as tools too:
graft_find_code, graft_find_all, graft_file_api, graft_trace_calls (with
direction / depth), graft_repo_map, graft_check_freshness. Use whichever surface is
available; the guidance is identical.
© m4r1k, MIT. 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/graft of m4r1k/Eneru.
Open the folder on GitHubat commit e2a4f30
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in m4r1k/Eneru, which our catalogue first saw on October 7, 2026.
Graft 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 |
|---|---|---|---|---|---|---|
| Graft this skillm4r1k/Eneru | 149 | 1 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Aqua Metricsoracle/accelerated-data-science | 125 | — | ~1.5k | Automated safety check: Pass | UPL-1.0 | |
| Alloygrafana/skills | 282 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Beylagrafana/skills | 282 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Grafanamagnus919/agent-skills | 115 | — | ~2.4k | Automated safety check: Pass | MIT | |
| Syncmetapawurb/hotpath-rs | 1.9k | — | ~1.2k | Automated safety check: Notes | MIT |
oracle/accelerated-data-science
Set up Prometheus and Grafana monitoring for AQUA vLLM model deployments on OCI.
grafana/skills
Build a unified telemetry pipeline with Grafana Alloy — one OpenTelemetry-compatible binary that collects metrics, logs, traces, and profiles and ships to Grafana Cloud / Prometheus / Loki / Tempo /…
grafana/skills
Auto-instrument an application's HTTP / gRPC / DB traffic with Grafana Beyla eBPF — no code changes, no SDK, no restart.
magnus919/agent-skills
Operate, configure, provision, secure, and troubleshoot Grafana OSS, Enterprise, and Cloud, including dashboards, folders, data sources, annotations, alert rules, contact points, notification…
pawurb/hotpath-rs
Sync changes from the hotpath, hotpath-macros and hotpath-drain crates to their meta counterparts (hotpath-meta, hotpath-macros-meta and hotpath-drain-meta).
NVlabs/alpasim
Optimize AlpaSim Slurm topology throughput using persistent local Prometheus/Grafana telemetry and run artifacts.
m4r1k/Eneru
Visually verify Eneru browser-dashboard changes against a live daemon or audit an exact deployment.
m4r1k/Eneru
Mandatory pre-release deep review for minor/major releases (X.Y.0 / X.0.0).
Works with
Categories
This repo is indexed by graft/. An agent skill from m4r1k/Eneru. Graft is an agent skill from m4r1k/Eneru. This repo is indexed by graft/.
Graft fits situations like: tasks that involve Monitoring and alerting.
Run `npx skills add m4r1k/Eneru --skill graft -a claude-code`. Or copy the skill folder (.claude/skills/graft in m4r1k/Eneru) into .claude/skills/graft in your project. Claude Code loads it when a task matches its description.
Run `npx skills add m4r1k/Eneru --skill graft -a codex`. Or copy the skill folder (.claude/skills/graft in m4r1k/Eneru) into .agents/skills/graft 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 m4r1k/Eneru --skill graft -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/graft, .gemini/skills/graft, .github/skills/graft and .opencode/skills/graft in your project.
SKILL.md names no scripts, command-line tools or credentials: Graft is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Graft is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.3k tokens (SKILL.md is roughly 9.1k 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 Graft: Aqua Metrics (oracle/accelerated-data-science, 125 stars), Alloy (grafana/skills, 282 stars), Beyla (grafana/skills, 282 stars) and Grafana (magnus919/agent-skills, 115 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
m4r1k (a GitHub user) maintains it in m4r1k/Eneru, which has 149 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on October 8, 2026.
Source: m4r1k/Eneru on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.