flame-graph-analysis SKILL.md skillA
flame-graph-analysis from robsonkades/agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add robsonkades/agent-skills/flame-graph-analysis@git:20261028.082d2f4Pins git:20261028.082d2f4 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- robsonkades/agent-skills
- Path
skills/flame-graph-analysis/SKILL.md- Versions recorded
- 5
- Latest version
- git:20261028.082d2f4, committed Oct 28, 2026
- First version recorded
- Sep 6, 2026
- Size
- 16,757 bytes
- Repository stars
- 3
- License
- Apache-2.0
Interpreting flame graphs as weighted sampled call-path aggregates: identifying the selection event and denominator, separating inclusive from leaf/self attribution, recognizing truncation, inlining, symbol and thread/task artifacts, using bottom-up and differential views, quantifying sample uncertainty, and turning a hotspot into a bounded causal experiment. Use when a graph looks CPU-heavy, idle-heavy, fragmented, changed after a deploy, or tempting to optimize by width alone. Does not…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Flame Graph Analysis ## Purpose A flame graph aggregates weighted stack traces. It answers “where did the selected events land, under which call paths?” It is not inherently CPU time, elapsed time, chronology, causality, per-request latency, or an optimization ranking. Those meanings come from the event source, selection population, weight, filters, and normalization. The expert workflow first validates the evidence envelope, then reads topology, then forms a causal hypothesis, and finally tests a change against an independent outcome metric. ## Ownership boundary - `async-profiler-advanced` owns sampling engines, stack walkers, event combinations, and conversion commands. - `jfr-advanced` owns JFR event settings, stack depth, chunks, and event loss. - This skill owns interpretation of the resulting weighted call-path aggregate. - `latency-statistics` and `performance-regression-ci` own repeated-comparison inference. - `allocation-profiling`, `concurrency-diagnostics`, and JVM skills own domain diagnosis once the graph points there. ## Evidence envelope first Do not interpret width until these are known: ```text event/source and producer version: …
Read the whole file at its exact version.
How to install
mdr add robsonkades/agent-skills/flame-graph-analysis@sha256:c4aa1a551e536f99The line at the top of this page pins the label git:20261028.082d2f4, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_aipqyvx3sz6sem3h)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Sep 6, 2026 and Oct 28, 2026, about one every 13 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261028.082d2f4 latest | 2026-10-28 | 082d2f4 | 16,757 B | A | view · diff |
| git:20260927.9ecadfd | 2026-09-27 | 9ecadfd | 16,533 B | A | view · diff |
| git:20260923.832673e | 2026-09-23 | 832673e | 15,711 B | A | view · diff |
| git:20260911.37b054b | 2026-09-11 | 37b054b | 15,297 B | A | view · diff |
| git:20260906.e6ad4bd | 2026-09-06 | e6ad4bd | 14,889 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (16757 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
robsonkades/agent-skills · 3 stars · license Apache-2.0 · pushed 2026-10-28 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_aipqyvx3sz6sem3h GET https://markdownregistry.com/api/v1/resolve?ref=robsonkades/agent-skills/flame-graph-analysis GET https://markdownregistry.com/api/v1/blob/c4aa1a551e536f9932f30d2ea405f1ceb9af6f635961699f67d79d4110136ee2
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.