trajectory-review SKILL.md skillA
trajectory-review from minimax-ai/mcode-stack is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add minimax-ai/mcode-stack/trajectory-review@git:20261028.c889a19Pins git:20261028.c889a19 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- minimax-ai/mcode-stack
- Path
stacks/ronny/skills/trajectory-review/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261028.c889a19, committed Oct 28, 2026
- Size
- 3,008 bytes
- Repository stars
- 495
- License
- MIT
Review how an agent reached its result, not only whether the result passed, covering tools called, detours, unverified assumptions and wasted round trips, and turn the findings into concrete harness or prompt fixes. Use after an agent task finishes or fails, when an eval task flips, or when asked to look at the process behind a result.
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
# Trajectory Review
A passing result can hide a fragile process: an assumption that happened to
hold, a lucky retry, ten round trips where two would do. A failing result
usually has its cause several steps before the error. Review the path, not
only the end point.
## 1. Get the real trajectory
Use the actual record of the run: the session transcript, tool-call log, or
eval trace. Note the model, settings and repository state. Do not reconstruct
the run from memory.
## 2. Walk it step by step
Build a compact timeline. For each step: what the agent intended, which tool
it called with which key arguments, what came back, and what it decided next.
While walking, mark:
- **Unverified assumptions.** The agent states or acts on something it never
checked ("callers already validate this", "the test passes").
- **Detours.** Loops, repeated searches with changing keywords, re-reading the
same file, retries without a change in approach.
- **Wrong tool or wrong arguments.** Including tools it could not find.
- **Context waste.** Large outputs pulled in and never used, polling instead of
waiting for a notification.
…Read the whole file at its exact version.
How to install
mdr add minimax-ai/mcode-stack/trajectory-review@sha256:1d0fee5abd2ab8c2The line at the top of this page pins the label git:20261028.c889a19, 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_bj27itzjcy4c4x4z)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Oct 28, 2026.
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 (3008 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
minimax-ai/mcode-stack · 495 stars · license MIT · pushed 2026-10-29 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_bj27itzjcy4c4x4z GET https://markdownregistry.com/api/v1/resolve?ref=minimax-ai/mcode-stack/trajectory-review GET https://markdownregistry.com/api/v1/blob/1d0fee5abd2ab8c21a301edf0755815b94fd3d225a8740e902383dcb3e156792
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.