review-experiment-results

review-experiment-results is a skill for Claude Code from harness/harness-skills. It costs 167 tokens per session (3,758 once invoked), scanned A, original, Apache-2.0.

An experiment-results reader for Harness FME, a feature-flag testing service. It explains whether one option won, how certain the result is, how safety metrics changed, and whether missing or limited data affects the conclusion.

In plain words
What is it for?
Use it to inspect experiments, classify metric outcomes, and review p-values, confidence intervals, sample sizes, and data-quality warnings when needed.
Why use it?
It turns statistical results into a plain-language decision and helps avoid treating weak or incomplete data as reliable evidence.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the harness-fme plugin — 16 skills shipped together , and of harness-skills

Good fit Use it to inspect experiments, classify metric outcomes, and review p-values, confidence intervals, sample sizes, and data-quality warnings when needed.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/harness/harness-skills/review-experiment-results
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add harness/harness-skills --skill review-experiment-results
Clone the repo
git clone --depth 1 https://github.com/harness/harness-skills

Made for: Claude Code.

Or install harness-fme, the plugin that ships this one along with the rest of its 16 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for review-experiment-results

README.md
[![agentmods](https://agentmods.dev/badge/skills/harness/harness-skills/review-experiment-results/github.svg)](https://agentmods.dev/skills/harness/harness-skills/review-experiment-results)
Your own site
<a href="https://agentmods.dev/skills/harness/harness-skills/review-experiment-results"><img src="https://agentmods.dev/badge/skills/harness/harness-skills/review-experiment-results/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for review-experiment-results

Your own site · 80×15
<a href="https://agentmods.dev/skills/harness/harness-skills/review-experiment-results"><img src="https://agentmods.dev/badge/skills/harness/harness-skills/review-experiment-results.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 167 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,758 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00167 $0.03758
Opus 5.5 $0.00067 $0.01503
Sonnet 5.5 $0.00033 $0.00752
Haiku 4.5 $0.00017 $0.00376

Measured yesterday against content hash 5cf35d467cb2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

review-experiment-results scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/fme/review-experiment-results/SKILL.md · 178 lines

How it starts

The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review Experiment Results

Explain an FME experiment's outcome in plain language: whether there's a winner, why or why not, how guardrail metrics were affected, and any data-quality caveats - with underlying statistics available on request.

Related: manage-experiments (experiment changes), choose-metric (metric selection).

Tools

Works through the Harness MCP server or the Harness CLI; names are from tool-map.md.

Operation MCP CLI
List experiments harness_list · fme_experiment · filters: { parent_type, name?, match_type: "contains", status?: ["ACTIVE", "PAUSED", "COMPLETED", "ARCHIVED"], offset: 0, limit: 100 } · compact: false harness list experiment --parent-type FEATURE_FLAG [--search <name>] --status ACTIVE, then repeat with --status PAUSED, --status COMPLETED, --status ARCHIVED (CLI --status is single-value; API defaults to ACTIVE if omitted)
Get experiment harness_get · fme_experiment · params: { experiment_id } harness get experiment <experiment-id>
Get settings harness_get · fme_experiment_settings · params: { experiment_id } harness get experiment:settings <experiment-id>
List results harness_list · fme_experiment_result · filters: { experiment_id, comparisons? } harness list experiment:results <experiment-id> --raw
Get/list metrics harness_get · fme_metric · params.metric_id (one call per id), or harness_list · fme_metric · filters: { ids } · compact: false harness get metric <id> once per id, or harness list metric --id <id> once per id - the CLI's --id flag is repeatable but only the first value reaches the API (spec bug), so repeating --id id1 --id id2 on one call silently drops id2

Instructions

Phase 1: Establish scope

Follow scope-establishment.md.

Read the full file on GitHub · 178 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday Changed · +1 lines 5cf35d467cb2
  2. 9d ago First seen · 177 lines · 167 tokens per session scan A 3585347d53b1

Subscribe to this mod's changes

review-experiment-results is a skill published in the GitHub repository harness/harness-skills (117 stars, last pushed yesterday), licensed Apache-2.0. It adds 167 tokens to every session and 3,758 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-07.

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