experimentation-loop SKILL.md skillA
experimentation-loop from jnpiyush/agentx is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add jnpiyush/agentx/experimentation-loop@v1.1.0Pins v1.1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- jnpiyush/agentx
- Path
.github/skills/development/experimentation-loop/SKILL.md- Versions recorded
- 5
- Latest version
- v1.1.0, committed Sep 25, 2026
- First version recorded
- Apr 28, 2026
- Size
- 14,341 bytes
- Repository stars
- 19
- License
- Apache-2.0
Run a metric-driven autonomous experimentation loop on an isolated branch. Use when a task has a measurable target (latency, bundle size, test pass-rate, build time, memory, score, accuracy) and the agent should propose changes, measure each attempt against a baseline, keep wins and revert losses, and produce a durable audit trail. Distinct from iterative-loop, which is correctness-driven.
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
# Experimentation Loop > **Purpose**: Drive a measurable metric in a chosen direction by running many small, isolated experiments, keeping wins, and reverting losses. > **Scope**: Branch isolation, metric definition, attempt audit trail, keep/revert decision rule. --- ## When to Use This Skill - A target metric exists and can be measured by a deterministic command - The desired direction is known (lower latency, higher pass-rate, smaller bundle) - Many small attempts are likely needed - Reverting a bad attempt is cheap (single git checkout) - A durable record of every attempt is valuable ## When NOT to Use - Correctness work where the goal is binary "tests pass" -- use `iterative-loop` - Tasks without a measurable metric or a way to compute it from a single command - Risk-bearing changes that should not auto-revert (use a normal review flow) - Production hotfixes (use targeted change with explicit review) ## Prerequisites - Clean working tree on a non-main branch - A metric command that exits 0 and prints a single numeric value, OR a JSON value reachable by a fixed JSON pointer - A baseline measurement captured before the loop starts …
Read the whole file at its exact version.
How to install
mdr add jnpiyush/agentx/experimentation-loop@sha256:a1b9ef63f7db7761The line at the top of this page pins the label v1.1.0, 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.
[](https://markdownregistry.com/a/art_67h3kvtnbd32pbr6)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Apr 28, 2026 and Sep 25, 2026, about one every 37 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.1.0 latest | 2026-09-25 | 244da72 | 14,341 B | A | view · diff |
| v1.1.0 | 2026-09-15 | f17c505 | 14,339 B | A | view · diff |
| v1.1.0 | 2026-05-22 | c9b598a | 14,337 B | A | view · diff |
| v1.0.0 | 2026-04-29 | 1c1ff57 | 9,172 B | A | view · diff |
| v1.0.0 | 2026-04-28 | 21e2bfe | 8,129 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (14341 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
jnpiyush/agentx · 19 stars · license Apache-2.0 · pushed 2026-11-04 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_67h3kvtnbd32pbr6 GET https://markdownregistry.com/api/v1/resolve?ref=jnpiyush/agentx/experimentation-loop GET https://markdownregistry.com/api/v1/blob/a1b9ef63f7db7761869de348f56bf3a2416d199924c4fd0c154d1575e048ee21
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.