Agent Native

codeprobe-interpret

This skill analyzes results from codeprobe benchmark runs by comparing configurations, computing statistical rankings, and generating actionable…

by SourcegraphOfficial publisherNot reviewed

Identity proven by GitHub's verified organisation badge (sourcegraph)

Agents
Claude Code
License
Apache-2.0 (permissive)
Pin
349658apinned Oct 9, 2026
Context cost
about 920 tokenswhen the skill loads
GitHub stars
2on sourcegraph/codeprobe
Scripts
None found

What it does

“Analyze eval results from codeprobe runs. Compares configurations statistically, ranks by score and cost-efficiency, and produces actionable recommendations in JSON or pretty text. Triggers on interpret results, analyze eval results, compare configurations, rank agents, score regression, plot regression. Use this when the agent needs to turn a `codeprobe run` output directory into structured analysis.”
The author's description, from SKILL.md

Generated summary from the skill's own text

This skill analyzes results from codeprobe benchmark runs by comparing configurations, computing statistical rankings, and generating actionable recommendations. It outputs structured JSON envelopes containing per-configuration summaries, ranked comparisons, and per-task details, along with optional HTML and CSV reports.

When to use it

  • Turning codeprobe run output directories into structured performance analysis
  • Comparing multiple agent configurations statistically by score and cost-efficiency
  • Generating ranked reports of configuration performance across test tasks
  • Analyzing per-task score trends over commit history in regression mode

When not to

  • Modifying or writing back to results directories, this skill is read-only
  • Fixing corrupt codeprobe state, run codeprobe doctor and validate first
  • Running benchmarks themselves, use codeprobe run for that instead

Install

These commands install from the publisher's repository and need no account.

skills CLI

npx skills add sourcegraph/codeprobe --skill codeprobe-interpret

Installs from the repository's default branch, which may have changed since the commit we checked.

GitHub CLI 2.90 or later

gh skill install sourcegraph/codeprobe codeprobe-interpret@349658a0c14622dccccc9be038cabca63a1e4a0b

Installs the commit we checked (349658a).

Copy by hand

Download the folder at 349658a and put it in .claude/skills/codeprobe-interpret for Claude Code and in .agents/skills/codeprobe-interpret for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.

Skill folder on GitHub at 349658a

Claude Code plugin

/plugin install sourcegraph@claude-plugins-official

The publisher's plugin in Claude's official marketplace. It may hold more than this skill, and we have not pinned it.

Copy for your agent

A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.

Prompt

Install the agent skill "codeprobe-interpret" by Sourcegraph.

Source, pinned to commit 349658a0c14622dccccc9be038cabca63a1e4a0b:
https://github.com/sourcegraph/codeprobe/tree/349658a0c14622dccccc9be038cabca63a1e4a0b/src/codeprobe/skills_data/codeprobe-interpret

1. Download that folder at exactly this commit. Do not use the default branch.
2. Copy every file unchanged, keeping the folder structure, into .claude/skills/codeprobe-interpret/ for Claude Code and .agents/skills/codeprobe-interpret/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist.
3. Do not edit the files, and do not run any script in the folder unless I ask you to.
4. When you are done, list the files you copied and where you put them.

Listing and checks: https://www.agentnative.dev/skills/sourcegraph/codeprobe-interpret

SKILL.md at the pin

---
name: codeprobe-interpret
description: Analyze eval results from codeprobe runs. Compares configurations statistically, ranks by score and cost-efficiency, and produces actionable recommendations in JSON or pretty text. Triggers on interpret results, analyze eval results, compare configurations, rank agents, score regression, plot regression. Use this when the agent needs to turn a `codeprobe run` output directory into structured analysis.
user-invocable: false
---

# codeprobe interpret (autonomous agent contract)

Turn a results directory (or mined-tasks directory in `--regression` mode) into
a structured analysis envelope. Reporting-only: no side effects on the target
data.

## Environment (pre-loaded)

- !`codeprobe doctor --json`

`doctor` is the single source of truth for environment readiness. Interpret is
read-only, so most doctor failures (missing backends, credentials) do NOT block
this command. Still, if doctor reports a corrupt `.codeprobe` state, resolve it
before interpreting.

## Bare invocation

```bash
codeprobe interpret <results_path> --json
```

Regression mode (per-task score over commit history from `codeprobe mine --refresh`):

```bash
codeprobe interpret <tasks_path> --json --regression --results <results_path>
```

Alternative serialization via `--format`:

```bash
codeprobe interpret <results_path> --format csv    # CSV on stdout (pretty mode)
codeprobe interpret <results_path> --format html   # writes <experiment>_report.html
```

`--format html` writes the HTML report file in every output mode. In envelope
mode (the non-TTY default, or `--json`) the envelope carries the file's
location as `data.html_report_path`; the key is present even on a
`VALIDITY_FAILED` (exit 2) envelope, so the validity-stamped report is still
discoverable. `--format csv` and `--format json` shape stdout in pretty mode
only; the envelope's report payload is always JSON.

## JSON fields to parse

Top-level keys are exactly:

```json
{
  "record_type": "envelope",
  "ok": true,
  "command": "interpret",
  "version": "<codeprobe version>",
  "schema_version": "1",
  "exit_code": 0,
  "data": {
    "command_schema_version": "1",
    "experiment": "...",
    "has_results": true,
    "is_partial": false,
    "completion_ratio": 1.0,
    "validity": { "passed": true },
    "report": { "summaries": [], "rankings": [], "comparisons": [], "tasks": [] }
  },
  "error": null,
  "warnings": [],
  "next_steps": []
}
```

Parse `ok`. On `false`, inspect `error.code`; `error` is a single object
(`code` / `message` / `kind` / `terminal` / `diagnose_cmd` / ... fields),
not an array. On `true`, branch on `data.has_results`: when `false`, `data`
carries only a `message` ("Run 'codeprobe run' first"); when `true`,
`data.report` holds the full JSON report (per-config `summaries`, sorted
`rankings` with `rank == 1` on top, pairwise `comparisons`, per-task rows in
`tasks`). Gate on `data.validity.passed` before quoting any score: a
failing infra-validity gate emits `ok: false` with `exit_code: 2` and the
same `data` block spliced in.

## Error handling

Interpret is reporting-only, so the error surface is small. Only the codes
below may surface. At runtime the envelope's `error` object carries the
authoritative message and remediation for whichever code fired.

| Code | Kind | Retryable? | Action |
|---|---|---|---|
| NO_TASKS | diagnostic | no | Target results dir has no tasks; check the path. |
| METADATA_MISSING | diagnostic | no | Structural integrity problem; stop and surface. |
| METADATA_INVALID | diagnostic | no | Structural integrity problem; run `codeprobe validate --strict` first. |
| INTERRUPTED | diagnostic | **TERMINAL — do not retry** | Signal halted the run; stop. |

## Retry policy

- Maximum retry depth per error chain: **2**. After two consecutive errors
  sharing the same code, stop and surface the envelope to the caller.
- Terminal errors (INTERRUPTED) are **never** retried.
- Because interpret is read-only, "retry" almost always means the upstream data
  is wrong. Fix the data (re-run `codeprobe run` or `codeprobe validate`)
  rather than loop on the same inputs.

From sourcegraph/codeprobe at 349658a, shown as plain text under its license: Apache-2.0 (permissive). The license text is in LICENSE.

View SKILL.md on GitHub at 349658a

Files

1 file, 4.1 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.

Skill folder on GitHub at 349658a
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