Claude-skill-registry view-results

View and analyze Hawk evaluation results. Use when the user wants to see eval-set results, check evaluation status, list samples, view transcripts, or analyze agent behavior from a completed evaluation run.

install

source · Clone the upstream repo

git clone https://github.com/majiayu000/claude-skill-registry

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/hawk-view-results" ~/.claude/skills/majiayu000-claude-skill-registry-view-results && rm -rf "$T"

manifest: skills/data/hawk-view-results/SKILL.md

source content

View Hawk Eval Results

When the user wants to analyze evaluation results, use these hawk CLI commands:

1. List Eval Sets

You can list all eval sets if the user do not know the eval set ID:

hawk list eval-sets

Shows: eval set ID, creation date, creator.

You can increase the limit of results returned by

--limit N

hawk list eval-sets --limit 50

Or you can search for a specific eval set by using

--search QUERY

hawk list eval-sets --search pico

2. List Evaluations

With an eval set ID, you can list all evaluations in the eval-set:

hawk list evals [EVAL_SET_ID]

Shows: task name, model, status (success/error/cancelled), and sample counts.

3. List Samples

Or you can list individual samples and their scores:

hawk list samples [EVAL_SET_ID] [--eval FILE] [--limit N]

4. Download Transcript

To get the full conversation for a specific sample:

hawk transcript <UUID>

The transcript includes full conversation with tool calls, scores, and metadata.

To get even more details, you can get the raw data by using

--raw

hawk transcript <UUID> --raw

Batch Transcript Download

You can also download all transcripts for an entire eval set:

# Fetch all samples in an eval set
hawk transcripts <EVAL_SET_ID>

# Write to individual files in a directory
hawk transcripts <EVAL_SET_ID> --output-dir ./transcripts

# Limit number of samples
hawk transcripts <EVAL_SET_ID> --limit 10

# Raw JSON output (one JSON per line to stdout, or .json files with --output-dir)
hawk transcripts <EVAL_SET_ID> --raw

Workflow

Run
```
hawk list eval-sets
```
to see available eval sets 2a. Run
```
hawk list evals <EVAL_SET_ID>
```
to see available evaluations 2b. or run
```
hawk list samples <EVAL_SET_ID>
```
to find samples of interest 3a. Run
```
hawk transcript <uuid>
```
to get full details on a single sample 3b. or run
```
hawk transcripts <eval_set_id> --output-dir ./transcripts
```
to download all
Read and analyze the transcript(s) to understand the agent's behavior

API Environments

Production (

https://api.inspect-ai.internal.metr.org

) is used by default. Set

HAWK_API_URL

only when targeting non-production environments:

Environment	URL
Staging	`https://api.inspect-ai.staging.metr-dev.org`
Dev1	`https://api.inspect-ai.dev1.staging.metr-dev.org`
Dev2	`https://api.inspect-ai.dev2.staging.metr-dev.org`
Dev3	`https://api.inspect-ai.dev3.staging.metr-dev.org`
Dev4	`https://api.inspect-ai.dev4.staging.metr-dev.org`

Example:

HAWK_API_URL=https://api.inspect-ai.staging.metr-dev.org hawk list eval_sets