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.
git clone --depth 1 https://github.com/WdBlink/autoresearch-paperWrote 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.
[](https://agentmods.dev/commands/wdblink/autoresearch-paper/autoresearch_plan)<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.
<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>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.
| Model | Per session | Once 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 |
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 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.
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
- Scan project structure
- Identify files relevant to the goal
- Propose file globs
- 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
- Identify how to extract the metric as a number from a shell command
- Propose Verify command (e.g.,
npm test -- --coverage | grep "All files" | awk '{print $10}') - Safety screen: check proposed command for rm -rf, fork bombs, curl|sh, credentials
- Dry-run the Verify command → confirm it outputs a valid number
- If dry-run fails → adjust command and retry
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.
- 3d ago First seen · 103 lines · 17 tokens per session scan C 382391b82bdc
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.
autoresearch_plan compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| autoresearch_planWdBlink/autoresearch-paper | Command | 2 | 4d ago | MIT | C | 17 | Claude Code, OpenCode |
| ars-planImbad0202/academic-research-skills | Command | 56k | yesterday | none | A | 19 | Claude Code |
| ars-revision-coachImbad0202/academic-research-skills-codex | Command | 14k | 5d ago | none | A | 27 | Claude Code |
| ars-3wImbad0202/academic-research-skills-codex | Command | 14k | 5d ago | none | A | 24 | Claude Code |
| nextProjectDXAI/labrat | Command | 237 | 3mo ago | MIT | A | 0 | Claude Code |
| ja-fallbackZaious/journal-atlas | Command | 2 | 10d ago | none | A | 37 | Claude Code |
| ai-reviewStill-chowline394/MagicTeX-mcp | Command | 0 | 1mo ago | AGPL-3.0 | A | 13 | Claude Code |