gcx is a command-line tool that lets people and AI coding agents manage and inspect Grafana Cloud, Enterprise, and open-source instances. It provides access to dashboards, alerts, SLOs, metrics, logs, and traces, with workflows for alert investigation, dashboard management, GitOps, and observability setup. Its catalogue entries provide agent instructions and extensions for using gcx.
Borrowing it
Nothing to install: this file belongs to grafana/gcx. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/grafana/gcx/main/.claude/skills/generate-slide/SKILL.mdgit clone --depth 1 https://github.com/grafana/gcxWrote 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/grafana/gcx/generate-slide)<a href="https://agentmods.dev/skills/grafana/gcx/generate-slide"><img src="https://agentmods.dev/badge/skills/grafana/gcx/generate-slide.svg" alt="Measured on agentmods" 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 | $0.00061 | $0.02018 |
| Opus 5 | $0.00030 | $0.01009 |
| Sonnet 5 | $0.00012 | $0.00404 |
| Haiku 4.5 | $0.00006 | $0.00202 |
Grade A, and why
generate-slide 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 8d 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 — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate gcx Marketing Slide
Regenerate docs/bento_marketing_slide.html — a 1440x900 "bento box" marketing slide — so
that every command shown is verified against the live binary and all stats are accurate.
Prerequisites
- Go toolchain available
docs/bento_marketing_slide.htmlmust exist
Workflow
Stage 1: Build & Reflect
Build a fresh gcx binary and extract the full command catalog and stats.
# 1. Build
go build -buildvcs=false -o bin/gcx ./cmd/gcx/
# 2. Extract the full flat command catalog (commands + resource_types)
./bin/gcx commands --flat -o json > /tmp/gcx-catalog.json
# 3. Extract counts from the catalog
python3 -c "
import json, sys
d = json.load(open('/tmp/gcx-catalog.json'))
cmds = d.get('commands', [])
rt = d.get('resource_types', [])
leaves = [c for c in cmds if c.get('token_cost')]
print(f'Total commands: {len(cmds)}')
print(f'Leaf commands (with token_cost): {len(leaves)}')
print(f'Resource types: {len(rt)}')
"
# 4. Get provider count
./bin/gcx providers list -o json | python3 -c "
import json, sys
d = json.load(sys.stdin)
print(f'Providers: {len(d)}')
for p in d: print(f' - {p[\"name\"]}')
"
# 5. Get the human-readable command tree (for selecting showcase commands)
./bin/gcx help-tree --depth 3 -o text
Stage 2: Verify Card Commands
For each card topic, extract the relevant subtree from the binary and confirm every command shown on the slide actually exists.
# Per-card verification — run one per card topic:
./bin/gcx help-tree kg --depth 3 -o text # Card 1: Knowledge Graph
./bin/gcx help-tree assistant --depth 3 -o text # Card 2: Grafana Assistant
./bin/gcx help-tree fleet --depth 3 -o text # Card 3: Fleet Management
./bin/gcx help-tree frontend --depth 3 -o text # Card 4a: App O11y (frontend/faro)
./bin/gcx help-tree appo11y --depth 3 -o text # Card 4b: App O11y (appo11y)
./bin/gcx help-tree incidents --depth 3 -o text # Card 5a: Incident Response
./bin/gcx help-tree oncall --depth 3 -o text # Card 5b: Incident Response (OnCall)
./bin/gcx help-tree synth --depth 3 -o text # Card 5c: Incident Response (Synth)
./bin/gcx help-tree setup --depth 3 -o text # Card 6: K8s Observability
./bin/gcx help-tree metrics adaptive --depth 3 -o text # Card 7a: Adaptive Telemetry
./bin/gcx help-tree logs adaptive --depth 3 -o text # Card 7b: Adaptive Telemetry
./bin/gcx help-tree traces adaptive --depth 3 -o text # Card 7c: Adaptive Telemetry
./bin/gcx help-tree slo --depth 3 -o text # Card 8: Agent-Ready Platform
./bin/gcx help-tree profiles --depth 3 -o text # Card 8: Agent-Ready Platform
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.
- 8d ago First seen · 164 lines · 61 tokens per session scan A e9043e31775e
generate-slide is a skill published in the GitHub repository grafana/gcx (589 stars, last pushed yesterday), licensed Apache-2.0. It adds 61 tokens to every session and 2,018 once invoked, about $0.0003 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 2026-08-30.
Other skills, from other repositories
webgl-holographic-foil
A self-contained WebGL2 hero: thin-film interference over a crushed-foil surface whose palette shifts with the viewing angle; move the cursor to tilt the film.
general-video
Author or edit a custom HyperFrames composition when no specialized workflow fits, or when BRIEF.md sets flow: companion. Use for longer or multi-scene pieces, brand and sizzle reels, montages, static loops, static title cards, footage remixes, and freeform builds. Use motion-graphics instead for a short unnarrated…
html-ppt-hermes-cyber-terminal
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.
html-ppt-taste-brutalist
16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).
diagnostic-stem-delivery
Audio production with diagnostic analysis, timecode parsing from documents, and verified export workflow.
chengfeng-check-updates
An environment manager for a video-editing system. It checks whether its skills and runtime—the software needed to run them—are installed and compatible.