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autoresearch:regression

autoresearch:regression is a command for Claude Code, OpenCode from WdBlink/autoresearch-paper. It costs 34 tokens per session (2,499 once invoked), scanned C, a copy of autoresearch:regression, MIT.

A regression-checking workflow that compares a code change with a base version, such as the version before a branch was changed. It runs the project's own tests, benchmarks, snapshots, or migration checks and reports whether behavior stayed stable.

In plain words
What is it for?
Use it as a pre-push or continuous integration gate to compare branches, run affected or full test suites, and inspect behavior in an isolated Git worktree.
Why use it?
It catches changes where something that passed before now fails, including performance changes outside a chosen tolerance. This gives a clear stable or unstable result before pushing code.

Command for Claude CodeOpenCode

Written for Claude Code and OpenCode: disable-model-invocation in frontmatter, but also installed under .opencode/.

not rated 2repo 4d ago C scan 34 tokens copy · 91% MIT

Good fit Use it as a pre-push or continuous integration gate to compare branches, run affected or full test suites, and inspect behavior in an isolated Git worktree.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/wdblink/autoresearch-paper/autoresearch_regression
View source ↗ WdBlink/autoresearch-paper
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.

Clone the repo
git clone --depth 1 https://github.com/WdBlink/autoresearch-paper

Made for: Claude Code, OpenCode.

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 autoresearch:regression

README.md
[![agentmods](https://agentmods.dev/badge/commands/wdblink/autoresearch-paper/autoresearch_regression/github.svg)](https://agentmods.dev/commands/wdblink/autoresearch-paper/autoresearch_regression)
Your own site
<a href="https://agentmods.dev/commands/wdblink/autoresearch-paper/autoresearch_regression"><img src="https://agentmods.dev/badge/commands/wdblink/autoresearch-paper/autoresearch_regression/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 autoresearch:regression

Your own site · 80×15
<a href="https://agentmods.dev/commands/wdblink/autoresearch-paper/autoresearch_regression"><img src="https://agentmods.dev/badge/commands/wdblink/autoresearch-paper/autoresearch_regression.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,499 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 91% copy Near-identical to another mod 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 $0.00034 $0.02499
Opus 5.5 $0.00014 $0.01000
Sonnet 5.5 $0.00007 $0.00500
Haiku 4.5 $0.00003 $0.00250

Measured 3d ago against content hash 980aad6c8990, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

autoresearch:regression scanned grade C with 2 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 3d ago.

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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

Verify-command screen (no `rm -rf` / `curl|sh`); worktree cleanup + prune on crash; data-migration refuses any non-allowlisted DB URL; probe auto-skips non-interactively; chained `ship` never auto-deploys.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

Verify-command screen (no `rm -rf` / `curl|sh`); worktree cleanup + prune on crash; data-migration refuses any non-allowlisted DB URL; probe auto-skips non-interactively; chained `ship` never auto-deploys.
Origin

This is a copy

91% identical to autoresearch:regression — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.opencode/commands/autoresearch_regression.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

EXECUTE IMMEDIATELY.

A regression is a green→red transition ONLY. The gate orchestrates the project's OWN test/bench/snapshot/migrate commands (it is a protocol, not a bundled framework), captures baseline behavior in an isolated git worktree, re-runs the candidate, and reports a tiered ship/no-ship verdict.

Parse Arguments

Extract from $ARGUMENTS:

  • Base: or --base — base ref to diff against. Default: git merge-base HEAD main (else main/master).
  • Scope: or --scope — file globs limiting the change surface.
  • --select auto|full|affected — test selection (default auto). auto = use the detected affected-test mapper if available, else FULL suite. Never a silent subset.
  • --samples N — SCORE samples/side (default 7). --noise-band % — perf tolerance (default 5%).
  • --matrix — opt-in matrix axis (OFF by default). --max-runs N — ceiling (default 200).
  • --baseline-cache (default on) — reuse baseline/<full-sha>/ by SHA. Baseline: <prebuilt-ref> — bypass capture.
  • --probe (default) / --probe deep / --no-probe.
  • --predict --reason --debug --fix --fix-cycles N --evals --evals-interval N --chain <targets> and --<sub> shorthand.
  • Iterations: — repeat-axis count for --select/repeat sweeps.

Setup / Probe-on-launch

  1. Auto-detect per-dimension verify commands: package.json scripts, Makefile, nx, migrate config, bench/snapshot/size scripts.
  2. question (single batch) to confirm detected commands + base ref + which dimensions to run.
  3. Auto-skip probe when CI / no-TTY / --mode autonomous / complete-config / chained-handoff — log the inferred config instead of asking.

Classification Phase (first-class, before any differential)

Establish the baseline green-set per dimension, then tag each unit. Match by test-id first, then path.

State Meaning Gated?
regression-eligible green on baseline YES — only green→red counts
pre-existing red→red (already failing) no — excluded
new-coverage absent→red (brand-new test) no — new coverage, ungated
flaky nondeterministic on baseline no — routed to flakiness SCORE
baseline-unavailable dimension never green no — advisory only

Read the full file on GitHub · 112 lines

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. 3d ago First seen · 112 lines · 34 tokens per session scan C 980aad6c8990

Subscribe to this mod's changes

autoresearch:regression is a command published in the GitHub repository WdBlink/autoresearch-paper (2 stars, last pushed 4d ago), licensed MIT. It adds 34 tokens to every session and 2,499 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it C with 2 findings (recursive force delete, makes network calls). It is 91% identical to autoresearch:regression, differing in 2 lines, and is treated as a copy.

CommitsE2E testingGit and workflowTestingacademic-writingagent-skillsaiai-agentsautonomous-research
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