autoresearch_plan

autoresearch_plan is a command for Claude Code, OpenCode from WdBlink/autoresearch-paper. It costs 17 tokens per session (828 once invoked), scanned C, a copy of autoresearch:plan, MIT.

A goal-planning workflow that turns a broad objective into a proposed scope, measurement, direction, and verification command. Verification means checking the result with a command; direction says whether a higher or lower measurement is better.

In plain words
What is it for?
Use it to define which files matter, what number or outcome to measure, and how to check progress. It can also identify whether the goal is metric-based or subjective and suggest a suitable next command.
Why use it?
It makes vague improvement work more concrete before code changes begin. It also helps choose the right follow-up activity, such as fixing errors, auditing security, or exploring edge cases.

Command for Claude CodeOpenCode

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

Good fit Use it to define which files matter, what number or outcome to measure, and how to check progress. It can also identify whether the goal is metric-based or subjective and suggest a suitable next command.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/wdblink/autoresearch-paper/autoresearch_plan
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_plan

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

Your own site · 80×15
<a href="https://agentmods.dev/commands/wdblink/autoresearch-paper/autoresearch_plan"><img src="https://agentmods.dev/badge/commands/wdblink/autoresearch-paper/autoresearch_plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 17 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 828 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 97% 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 $0.00017 $0.00828
Opus 5.5 $0.00007 $0.00331
Sonnet 5.5 $0.00003 $0.00166
Haiku 4.5 $0.00002 $0.00083

Measured 3d ago against content hash 382391b82bdc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

autoresearch_plan 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.

3. **Safety screen:** check proposed command for rm -rf, fork bombs, curl|sh, credentials

Makes network callslowCapability

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

3. **Safety screen:** check proposed command for rm -rf, fork bombs, curl|sh, credentials
Origin

This is a copy

97% identical to autoresearch:plan — 6 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_plan.md · 103 lines

How it starts

The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.

EXECUTE IMMEDIATELY.

Parse Arguments

Extract from $ARGUMENTS:

  • Goal: — text after keyword, or full $ARGUMENTS if no keyword
  • --chain <targets> — comma-separated downstream commands
  • --<subcommand> — chain shorthand

Remaining text = goal description.

Setup (if Goal missing)

question (single batch): Q1 (Goal): "What do you want to achieve?" — open text Q2 (Type): "What kind of goal?" — improve a metric, fix errors, audit security, explore edge cases, document code, ship something If Goal provided → skip.

Phase 1: Analyze Goal

Parse the goal to determine:

  • Is it measurable? (metric-driven vs subjective)
  • What's the natural scope? (files, modules, entire codebase)
  • What subcommand fits best? (core loop, fix, debug, security, etc.)

Phase 2: Derive Scope

  1. Scan project structure
  2. Identify files relevant to the goal
  3. Propose file globs
  4. If ambiguous → ask user to confirm

Phase 3: Derive Metric + Direction

For metric-driven goals:

  • Identify what to measure (test coverage, error count, bundle size, latency, etc.)
  • Determine direction: higher_is_better or lower_is_better
  • Propose metric name and description

For performance, latency, throughput, runtime, CPU, memory, allocations, binary size, power, energy, bandwidth, or compute-cost goals, read references/behavior-preserving-optimization.md in the autoresearch skill directory. Derive a behavior/resource Guard and a held-out confirmation plan separately from the headline metric; do not let the optimized metric certify itself.

For subjective goals:

  • Suggest proxy metrics where possible
  • Or recommend /autoresearch_reason for non-measurable goals

Phase 4: Derive Verify Command

  1. Identify how to extract the metric as a number from a shell command
  2. Propose Verify command (e.g., npm test -- --coverage | grep "All files" | awk '{print $10}')
  3. Safety screen: check proposed command for rm -rf, fork bombs, curl|sh, credentials
  4. Dry-run the Verify command → confirm it outputs a valid number
  5. If dry-run fails → adjust command and retry

Read the full file on GitHub · 103 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 · 103 lines · 17 tokens per session scan C 382391b82bdc

Subscribe to this mod's changes

autoresearch_plan is a command published in the GitHub repository WdBlink/autoresearch-paper (2 stars, last pushed 4d ago), licensed MIT. It adds 17 tokens to every session and 828 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 97% identical to autoresearch:plan, differing in 6 lines, and is treated as a copy.

Related

autoresearch_plan compared with commands from other repositories

autoresearch_plan next to 6 commands from other repositories
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