Agent skill

Skill Command Trajectory Eval V1

by JayFarei in JayFarei/opentraces

Derive compact eval rows from command-attributed trace trajectories.

Custom licenceAuto-check passedDevOps & Cloud

Install Skill Command Trajectory Eval V1

skills CLI
$ npx skills add JayFarei/opentraces --skill skill-command-trajectory-eval-v1 -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install JayFarei/opentraces skill-command-trajectory-eval-v1 --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/JayFarei/opentraces.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/opentraces/workflow_templates/skill-command-trajectory-eval-v1 .claude/skills/skill-command-trajectory-eval-v1 && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
skill-command-trajectory-eval-v1
GitHub stars
100
Token cost
~681 tokens
SKILL.md length
161 words
Files
6 (incl. scripts)
Skills in repo
13
Repo updated
First seen
Licence
Custom licence

At a glance

Derive compact eval rows from command-attributed trace trajectories.

  • DevOps & Cloud work in your project
  • SKILL.md covers Row Shape, Deterministic Builder and Eval Use
  • Runs Python scripts from its folder; calls python

What it does

Skill Command Trajectory Eval V1 is an agent skill from JayFarei/opentraces. Derive compact eval rows from command-attributed trace trajectories.

Its SKILL.md is about 680 tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts (for example `examples/expected-row.json`, `examples/input-candidate-packet.json` and `schemas/row.schema.json`).

It sits in DevOps & Cloud. The repository describes itself as: A local-first evidence layer for agent work, capturing what the agent sees, does, and changes.

When your agent uses it

  • DevOps & Cloud work in your project

Example prompts

  • “/skill-command-trajectory-eval-v1”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 354755d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Skill Command Trajectory Eval V1 loads about 681 tokens when it runs. Until then it costs about 25 tokens; SKILL.md has 161 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~25
When it runs · the whole SKILL.md, loaded when a task matches
~681

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 161 words (~681 tokens).

“Build a compact, publish-safe evaluation row projection from the raw skill-command-trajectories evidence source.”

— opening of SKILL.md by JayFarei, Custom licence
name
skill-command-trajectory-eval-v1
mode
agent-skill
requires
ot dataset, ot trace get, ot trace map

Read the full SKILL.md on GitHub

Files

SKILL.md and 5 other files (scripts) in src/opentraces/workflow_templates/skill-command-trajectory-eval-v1 of JayFarei/opentraces.

  • SKILL.md
  • examples/expected-row.json
  • examples/input-candidate-packet.json
  • schemas/row.schema.json
  • scripts/build_rows.py
  • tests/README.md

Open the folder on GitHubat commit 354755d

Compare with similar skills

Skill Command Trajectory Eval V1 next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Skill Command Trajectory Eval V1 compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Skill Command Trajectory Eval V1 this skillJayFarei/opentraces100—~681Automated safety check: PassCustom licence
Monitor CInrwl/nx29k6 repos~4.7kAutomated safety check: PassMIT
Terraform and OpenTofu Guideagentscope-ai/QwenPaw35k6 repos~4.2kAutomated safety check: PassApache-2.0
Vercel Optimize Auditvercel-labs/agent-skills32k9 repos~4.3kAutomated safety check: PassNone
Openclaw Live Updateropenclaw/openclaw392k—~3.7kAutomated safety check: PassMIT
Analyze GitHub Action Logswithastro/astro63k1 repos~1.3kAutomated safety check: PassCustom licence

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Categories

Questions about Skill Command Trajectory Eval V1

What does Skill Command Trajectory Eval V1 do?

Derive compact eval rows from command-attributed trace trajectories. Skill Command Trajectory Eval V1 is an agent skill from JayFarei/opentraces. Derive compact eval rows from command-attributed trace trajectories.

When should I use Skill Command Trajectory Eval V1?

Skill Command Trajectory Eval V1 fits situations like: devOps & Cloud work in your project.

How do I install Skill Command Trajectory Eval V1 in Claude Code?

Run `npx skills add JayFarei/opentraces --skill skill-command-trajectory-eval-v1 -a claude-code`. Or copy the skill folder (src/opentraces/workflow_templates/skill-command-trajectory-eval-v1 in JayFarei/opentraces) into .claude/skills/skill-command-trajectory-eval-v1 in your project. Claude Code loads it when a task matches its description.

How do I install Skill Command Trajectory Eval V1 in Codex?

Run `npx skills add JayFarei/opentraces --skill skill-command-trajectory-eval-v1 -a codex`. Or copy the skill folder (src/opentraces/workflow_templates/skill-command-trajectory-eval-v1 in JayFarei/opentraces) into .agents/skills/skill-command-trajectory-eval-v1 in your project. Codex loads it when a task matches its description.

Can I use Skill Command Trajectory Eval V1 in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add JayFarei/opentraces --skill skill-command-trajectory-eval-v1 -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-command-trajectory-eval-v1, .gemini/skills/skill-command-trajectory-eval-v1, .github/skills/skill-command-trajectory-eval-v1 and .opencode/skills/skill-command-trajectory-eval-v1 in your project.

What does Skill Command Trajectory Eval V1 need to run?

Going by SKILL.md and its folder, Skill Command Trajectory Eval V1 needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Skill Command Trajectory Eval V1 access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Skill Command Trajectory Eval V1 safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Skill Command Trajectory Eval V1 use?

Skill Command Trajectory Eval V1 has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Skill Command Trajectory Eval V1 use?

About 681 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Skill Command Trajectory Eval V1?

Skills that share tags, products or a category with Skill Command Trajectory Eval V1: Monitor CI (nrwl/nx, 29k stars), Terraform and OpenTofu Guide (agentscope-ai/QwenPaw, 35k stars), Vercel Optimize Audit (vercel-labs/agent-skills, 32k stars) and Openclaw Live Updater (openclaw/openclaw, 392k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skill Command Trajectory Eval V1?

JayFarei (a GitHub user) maintains it in JayFarei/opentraces, which has 100 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on October 6, 2026.

Source: JayFarei/opentraces on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.