debug-agent-from-traces SKILL.md skillA
debug-agent-from-traces from contextjet-ai/awesome-llm-observability is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add contextjet-ai/awesome-llm-observability/debug-agent-from-traces@git:20260705.23078bePins git:20260705.23078be in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- contextjet-ai/awesome-llm-observability
- Path
skills/debug-agent-from-traces/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260705.23078be, committed Jul 5, 2026
- First version recorded
- Jul 5, 2026
- Size
- 3,170 bytes
- Repository stars
- 45
- License
- a license file GitHub does not identify
Use this to diagnose WHY an LLM agent or chain produced a wrong, empty, slow, or expensive result, by reading its observability trace. Trigger on "my agent gave the wrong answer", "the chain returned nothing", "why is this so slow/expensive", "debug this trace/run", or when a trace tree is available. Walk the span tree systematically instead of guessing.
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
# Debug an agent from its trace A trace is a tree of spans (parent request → LLM/tool/retrieval children). Most agent failures are visible in it if you read it in the right order. Don't guess from the final output - walk the tree. ## Triage by symptom | Symptom | Look here first | |---|---| | **Wrong answer** | The LLM span *just before* the bad output: was the prompt/context correct? Then the retrieval span that fed it. | | **Empty / truncated output** | `finish_reason` (length? content_filter?), `max_tokens`, and any span that raised an exception then got swallowed. | | **Hallucinated facts** | Retrieval spans - were the right docs retrieved (check scores/IDs)? If not, it's a retrieval bug, not an LLM bug. | | **Too slow** | Span durations - find the critical path. Usually one slow retrieval, a serial loop that should be parallel, or a huge context. | | **Too expensive** | Token counts per LLM span - find the span with the largest `input_tokens` (usually bloated context or a retry storm). | | **Silent failure** | A span with an error/exception that was caught and returned empty. A missing subtree = a step that never ran. | ## The systematic walk …
Read the whole file at its exact version.
How to install
mdr add contextjet-ai/awesome-llm-observability/debug-agent-from-traces@sha256:464d5d393d3eccd2The line at the top of this page pins the label git:20260705.23078be, 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_bnssdhoxatuvdjm3)
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Versions
The registry has recorded 2 versions of this file, all committed on Jul 5, 2026.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260705.23078be latest | 2026-07-05 | 23078be | 3,170 B | A | view · diff |
| git:20260705.c7a8a66 | 2026-07-05 | c7a8a66 | 3,180 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 (3170 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
contextjet-ai/awesome-llm-observability · 45 stars · license a license file GitHub does not identify · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_bnssdhoxatuvdjm3 GET https://markdownregistry.com/api/v1/resolve?ref=contextjet-ai/awesome-llm-observability/debug-agent-from-traces GET https://markdownregistry.com/api/v1/blob/464d5d393d3eccd2e60c04cd732f70d6904be36ce32c8a7f4ed860a5bee5acf5
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.