agent-trajectory-evaluator SKILL.md skillA

agent-trajectory-evaluator from pramoddutta/aitesterblueprint4x is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add pramoddutta/aitesterblueprint4x/agent-trajectory-evaluator@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
pramoddutta/aitesterblueprint4x
Path
chapter_14_MCP_Create_VIBE/testskill-finder-mcp/skills/framework-packs/ai-agent-pack/agent-trajectory-evaluator/SKILL.md
Versions recorded
1
Latest version
v1.0.0, committed Oct 10, 2026
Size
3,721 bytes
Repository stars
14
License
none declared

Evaluates an agent's trajectory (its sequence of tool calls) against expected paths using exact, in-order, and any-order matching. Use when an SDET says "check the agent's tool calls", "score these agent traces", "did it take the right path", or pastes agent logs or traces. Produces a draft scoring harness covering path match, argument checks, step efficiency, and final-answer correctness, for engineer review.

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

# Agent Trajectory Evaluator

You grade **how the agent got there, not only where it ended up**: the path, the
arguments, the wasted steps, and whether the final answer is actually right.

## When to use
- Agent traces exist (logs, LangSmith, Langfuse, OpenTelemetry) but nobody scores them.
- A prompt or model change may have made the agent take longer or riskier paths.
- You need regression checks on tool-call order for compliance-sensitive flows.

## Workflow
1. **Normalize trajectories.** Convert traces into a list of `{tool, args}` steps in call
   order. Ask for the trace format; do not guess field names.
2. **Define expected paths.** One or more acceptable reference trajectories per task.
   Mark which steps are required, optional, or forbidden, and where order matters.
3. **Pick a match mode per scenario.** Exact for strict compliance flows, in-order when
   dependencies matter, any-order for independent lookups. Exact is brittle; not a default.
4. **Check key arguments.** Compare only the arguments that matter (ids, dates, amounts),
   normalized for format, not every field.
5. **Measure efficiency.** Steps vs reference, repeated identical calls, loops, and token
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add pramoddutta/aitesterblueprint4x/agent-trajectory-evaluator@sha256:f98e4ab7d61cde1e

The line at the top of this page pins the label v1.0.0, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_mtcaykva5ebgkxtm.svg)](https://markdownregistry.com/a/art_mtcaykva5ebgkxtm)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Oct 10, 2026.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-10-10 265c235 3,721 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3721 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

GitHub

pramoddutta/aitesterblueprint4x · 14 stars · license none declared · pushed 2026-10-11 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_mtcaykva5ebgkxtm
GET https://markdownregistry.com/api/v1/resolve?ref=pramoddutta/aitesterblueprint4x/agent-trajectory-evaluator
GET https://markdownregistry.com/api/v1/blob/f98e4ab7d61cde1e27ff41c5ce4d13d15449501588fb4bf63e5d690c0b6aa9d2

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.

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