Exploring Apm Traces
PostHog/posthog
Investigates distributed application performance using PostHog APM (OpenTelemetry span) data via MCP.
“Find the top CPU, memory, or disk consumers. Use for capacity reviews, noisy-neighbor hunts, and top-N questions about which jobs, pods, or instances use the most resources or…”
Install Prometheus Top Resource Consumers
$ npx skills add prometheus/prometheus-mcp --skill find-top-resource-consumers -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install prometheus/prometheus-mcp find-top-resource-consumers --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/prometheus/prometheus-mcp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/pkg/mcp/assets/skills/find-top-resource-consumers .claude/skills/find-top-resource-consumers && 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 "find-top-resource-consumers" agent skill from https://github.com/prometheus/prometheus-mcp/tree/main/pkg/mcp/assets/skills/find-top-resource-consumers into .claude/skills/find-top-resource-consumers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "find-top-resource-consumers", 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/prometheus/prometheus-mcp/tree/main/pkg/mcp/assets/skills/find-top-resource-consumersType 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 prometheus/prometheus-mcp --skill find-top-resource-consumers -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install prometheus/prometheus-mcp find-top-resource-consumers --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/prometheus/prometheus-mcp.git skills-src && mkdir -p .agents/skills && cp -r skills-src/pkg/mcp/assets/skills/find-top-resource-consumers .agents/skills/find-top-resource-consumers && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "find-top-resource-consumers" agent skill from https://github.com/prometheus/prometheus-mcp/tree/main/pkg/mcp/assets/skills/find-top-resource-consumers into .agents/skills/find-top-resource-consumers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "find-top-resource-consumers", 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 prometheus/prometheus-mcp --skill find-top-resource-consumers -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install prometheus/prometheus-mcp find-top-resource-consumers --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/prometheus/prometheus-mcp.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/pkg/mcp/assets/skills/find-top-resource-consumers .cursor/skills/find-top-resource-consumers && 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 "find-top-resource-consumers" agent skill from https://github.com/prometheus/prometheus-mcp/tree/main/pkg/mcp/assets/skills/find-top-resource-consumers into .cursor/skills/find-top-resource-consumers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "find-top-resource-consumers", 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/prometheus/prometheus-mcp.git --path pkg/mcp/assets/skills/find-top-resource-consumers--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 prometheus/prometheus-mcp --skill find-top-resource-consumers -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install prometheus/prometheus-mcp find-top-resource-consumers --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/prometheus/prometheus-mcp.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/pkg/mcp/assets/skills/find-top-resource-consumers .gemini/skills/find-top-resource-consumers && 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 "find-top-resource-consumers" agent skill from https://github.com/prometheus/prometheus-mcp/tree/main/pkg/mcp/assets/skills/find-top-resource-consumers into .gemini/skills/find-top-resource-consumers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "find-top-resource-consumers", 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 prometheus/prometheus-mcp find-top-resource-consumersInstalls 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 prometheus/prometheus-mcp --skill find-top-resource-consumers -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/prometheus/prometheus-mcp.git skills-src && mkdir -p .github/skills && cp -r skills-src/pkg/mcp/assets/skills/find-top-resource-consumers .github/skills/find-top-resource-consumers && 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 "find-top-resource-consumers" agent skill from https://github.com/prometheus/prometheus-mcp/tree/main/pkg/mcp/assets/skills/find-top-resource-consumers into .github/skills/find-top-resource-consumers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "find-top-resource-consumers", 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 prometheus/prometheus-mcp --skill find-top-resource-consumers -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install prometheus/prometheus-mcp find-top-resource-consumers --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/prometheus/prometheus-mcp.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/pkg/mcp/assets/skills/find-top-resource-consumers .opencode/skills/find-top-resource-consumers && 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 "find-top-resource-consumers" agent skill from https://github.com/prometheus/prometheus-mcp/tree/main/pkg/mcp/assets/skills/find-top-resource-consumers into .opencode/skills/find-top-resource-consumers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "find-top-resource-consumers", 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.
Facts
- Skill name
find-top-resource-consumers- GitHub stars
- 120
- Token cost
- ~569 tokens
- SKILL.md length
- 241 words
- Files
- 1
- Skills in repo
- 7
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
- SKILL.md covers Getting oriented, Topics worth exploring and Reporting findings
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
About this skill
“Find the top CPU, memory, or disk consumers. Use for capacity reviews, noisy-neighbor hunts, and top-N questions about which jobs, pods, or instances use the most resources or drive TSDB growth; builds topk() queries over discovered metrics.”
Prometheus Top Resource Consumers is a skill in prometheus/prometheus-mcp (120 stars). Its SKILL.md is about 569 tokens. Licence: Apache-2.0.
Requirements
- Compatibility (from SKILL.md): Requires the tools of a connected Prometheus MCP server
What it can do on your machine
Read from SKILL.md and the folder at commit 856fb45. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
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.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Requires the tools of a connected Prometheus MCP server
From compatibility in the SKILL.md frontmatter.
Context cost
Prometheus Top Resource Consumers loads about 569 tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 241 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from prometheus/prometheus-mcp at commit 856fb45, republished under its Apache-2.0 licence (© prometheus). 241 words, ~569 tokens.
Download SKILL.mdSave it as
.claude/skills/find-top-resource-consumers/SKILL.md (or your agent's skills folder).- name
- find-top-resource-consumers
- description
- Find the top CPU, memory, or disk consumers. Use for capacity reviews, noisy-neighbor hunts, and top-N questions about which jobs, pods, or instances use the most resources or drive TSDB growth; builds topk() queries over discovered metrics.
- compatibility
- Requires the tools of a connected Prometheus MCP server
- license
- Apache-2.0
Finding Top Resource Consumers
Identify which services, pods, or instances consume the most CPU, memory, or disk -- or drive the most TSDB growth. Resource metrics vary by environment (node_exporter, cadvisor, kubelet, ...), so discover what exists before querying.
Getting oriented
- label_values on name (or series with regex matchers) reveals which resource metrics exist: node_cpu_seconds_total, container_memory_working_set_bytes, process_resident_memory_bytes, and so on.
- metric_metadata confirms the type and meaning of whatever discovery turns up.
- tsdb_stats answers the "who produces the most metrics" version of the question via seriesCountByMetricName.
- Prometheus's own metrics exposes monitoring cost per target: query topk(10, scrape_samples_scraped) to find the heaviest targets, and a persistently high scrape_series_added means a target keeps minting new series.
Topics worth exploring
Treat these as starting points, adapting metric names to what discovery found:
- Top CPU: CPU counters need rate() before ranking, e.g. with query: topk(10, sum by (pod) (rate(container_cpu_usage_seconds_total[5m])))
- Top memory: gauges rank directly: topk(10, sum by (instance) (container_memory_working_set_bytes))
- Top disk: node_filesystem_avail_bytes vs node_filesystem_size_bytes for fullness; rate(node_disk_written_bytes_total[5m]) for write churn.
- Trend vs snapshot: range_query the same expressions to see whether a top consumer is growing, cyclic, or stable; a stable hog and a leak need different responses.
- TSDB growth: the top metric and label names from tsdb_stats show what is inflating storage, often more actionable than any single consumer.
Reporting findings
Rank the top consumers with numbers and units, note whether each is growing or stable, and flag anything disproportionate to its peers as a candidate for follow-up.
© prometheus, 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
Files
Just SKILL.md in pkg/mcp/assets/skills/find-top-resource-consumers of prometheus/prometheus-mcp.
Open the folder on GitHubat commit 856fb45
Compare with similar skills
Prometheus Top Resource Consumers 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 |
|---|---|---|---|---|---|---|
| Prometheus Top Resource Consumers this skillprometheus/prometheus-mcp | 120 | — | ~569 | Automated safety check: Pass | Apache-2.0 | |
| Exploring Apm TracesPostHog/posthog | 40k | — | ~3.5k | Automated safety check: Pass | Custom licence | |
| AWS Cost Operationszxkane/aws-skills | 367 | — | ~2.4k | Automated safety check: Pass | MIT | |
| Archestra Dev Observabilityarchestra-ai/archestra | 4.4k | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| Frontmcp Observabilityagentfront/frontmcp | 146 | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| AWS Cost OperationsMicrock/ordinary-claude-skills | 404 | 1 repos | ~2.5k | Automated safety check: Pass | Custom licence |
Similar skills
- Official
AWS Cost Operations
zxkane/aws-skills
AWS cost optimization, monitoring, and operational excellence expert.
Archestra Dev Observability
archestra-ai/archestra
A skill your agent uses when changing Archestra tracing, metrics, OpenTelemetry, Tempo, Grafana, Prometheus, LLM/MCP spans, observability labels, or local observability setup.
Frontmcp Observability
agentfront/frontmcp
A skill your agent uses when adding tracing, structured logging, metrics, or monitoring to a FrontMCP server.
AWS Cost Operations
Microck/ordinary-claude-skills
This skill provides AWS cost optimization, monitoring, and operational best practices with integrated MCP servers for billing analysis, cost estimation, observability, and security assessment.
Neon
smontlouis/bible-strong
Overview of Neon, a complete set of cloud backend primitives for apps and agents, spanning Lakebase Postgres, Auth, the Data API, Object Storage, Compute Functions, and the AI Gateway.
More from prometheus/prometheus-mcp
Prometheus System Health Check
prometheus/prometheus-mcp
Builds a picture of whether Prometheus itself is healthy and successfully monitoring its targets, covering readiness, firing alerts, target health and TSDB load.
Prometheus Error Rate Investigator
prometheus/prometheus-mcp
Quantifies elevated error rates with PromQL, compares them to a baseline, and isolates which jobs or instances an error spike is concentrated in.
Prometheus Cardinality Optimizer
prometheus/prometheus-mcp
Finds the metrics and labels behind a Prometheus series explosion using a connected Prometheus MCP server, then proposes relabeling, dropping or recording-rule fixes with measured impact.
Prometheus Rules Review
prometheus/prometheus-mcp
Audits Prometheus recording and alerting rules through a connected Prometheus MCP server, finds gaps and noisy alerts, and drafts improved rule-group YAML.
Prometheus Missing Data Troubleshooting
prometheus/prometheus-mcp
Finds where a Prometheus metric stops existing, whether at the target, the scrape, relabeling or the query, using the tools of a connected Prometheus MCP server.
Tune Prometheus Config
prometheus/prometheus-mcp
Review and tune Prometheus configuration and performance. An agent skill from prometheus/prometheus-mcp.
Related
Works with
Categories
Questions about Prometheus Top Resource Consumers
How do I install Prometheus Top Resource Consumers in Claude Code?
Run `npx skills add prometheus/prometheus-mcp --skill find-top-resource-consumers -a claude-code`. Or copy the skill folder (pkg/mcp/assets/skills/find-top-resource-consumers in prometheus/prometheus-mcp) into .claude/skills/find-top-resource-consumers in your project. Claude Code loads it when a task matches its description.
How do I install Prometheus Top Resource Consumers in Codex?
Run `npx skills add prometheus/prometheus-mcp --skill find-top-resource-consumers -a codex`. Or copy the skill folder (pkg/mcp/assets/skills/find-top-resource-consumers in prometheus/prometheus-mcp) into .agents/skills/find-top-resource-consumers in your project. Codex loads it when a task matches its description.
Can I use Prometheus Top Resource Consumers in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add prometheus/prometheus-mcp --skill find-top-resource-consumers -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/find-top-resource-consumers, .gemini/skills/find-top-resource-consumers, .github/skills/find-top-resource-consumers and .opencode/skills/find-top-resource-consumers in your project.
What does Prometheus Top Resource Consumers need to run?
SKILL.md names no scripts, command-line tools or credentials: Prometheus Top Resource Consumers is instructions for the agent only. Compatibility (from SKILL.md): Requires the tools of a connected Prometheus MCP server.
Does Prometheus Top Resource Consumers access the network?
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.
Is Prometheus Top Resource Consumers safe to install?
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.
What licence does Prometheus Top Resource Consumers use?
Prometheus Top Resource Consumers is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Prometheus Top Resource Consumers use?
About 569 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Prometheus Top Resource Consumers?
Skills that share tags, products or a category with Prometheus Top Resource Consumers: Exploring Apm Traces (PostHog/posthog, 40k stars), AWS Cost Operations (zxkane/aws-skills, 367 stars), Archestra Dev Observability (archestra-ai/archestra, 4.4k stars) and Frontmcp Observability (agentfront/frontmcp, 146 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Prometheus Top Resource Consumers?
prometheus (a GitHub organization) maintains it in prometheus/prometheus-mcp, which has 120 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 4, 2026.
Source: prometheus/prometheus-mcp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.