codex-autoresearch-loop
Self-directed iterative research skill for Codex that continuously cycles through modify, verify, retain or discard, and repeat until a measurable goal is reached.
Best use case
codex-autoresearch-loop is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Self-directed iterative research skill for Codex that continuously cycles through modify, verify, retain or discard, and repeat until a measurable goal is reached.
Teams using codex-autoresearch-loop should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/codex-autoresearch-loop/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How codex-autoresearch-loop Compares
| Feature / Agent | codex-autoresearch-loop | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Self-directed iterative research skill for Codex that continuously cycles through modify, verify, retain or discard, and repeat until a measurable goal is reached.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Codex Autoresearch
> Skill by [ara.so](https://ara.so) — Daily 2026 Skills collection.
Codex Autoresearch is a Codex skill that runs an autonomous modify→verify→keep/revert loop on your codebase. You describe a measurable goal in one sentence; Codex confirms the plan, then iterates unattended — every improvement stacks in git, every failure reverts automatically — until interrupted or a cap is reached. Inspired by Karpathy's autoresearch concept, generalized beyond ML training to any software metric.
---
## Installation
**Option A — manual copy into your project:**
```bash
git clone https://github.com/leo-lilinxiao/codex-autoresearch.git
cp -r codex-autoresearch your-project/.agents/skills/codex-autoresearch
```
**Option B — Codex skill installer:**
```text
$skill-installer install https://github.com/leo-lilinxiao/codex-autoresearch
```
The skill lives at `.agents/skills/codex-autoresearch/` inside your project. No config file is required before first use.
---
## How to Activate
Open Codex in your project directory and prefix your goal with `$codex-autoresearch`:
```text
$codex-autoresearch
I want to get rid of all `any` types in my TypeScript code
```
Codex will:
1. Scan the repo and infer scope, metric, verify command, and guard command.
2. Present a confirmation summary — reply `go` (or correct anything).
3. Run the loop unattended until you interrupt it or the goal is met.
You never write config. Codex infers everything.
---
## Confirmation Flow
Before the loop starts Codex always shows what it found and asks you to confirm. Example exchange:
```
Codex: I found 47 `any` occurrences across src/**/*.ts.
Confirmed:
- Target: eliminate `any` types in src/**/*.ts
- Metric: `any` count (current: 47), direction: lower
- Verify: grep + tsc --noEmit as guard
Need to confirm:
- Run until all gone, or cap at N iterations?
Reply "go" to start, or tell me what to change.
You: Go, run overnight.
Codex: Starting — baseline: 47. Iterating until interrupted.
```
Up to five confirmation rounds are possible. After that, Codex proceeds.
---
## The Loop (internals)
```
PHASE 0: Probe environment (CPU/GPU/RAM/toolchains), check for session resume
PHASE 1: Read context + lessons file from prior run (if any)
LOOP (forever or N times):
1. Review current state, git history, results log, lessons
2. Pick ONE hypothesis (apply perspectives, filter by environment)
-- or N hypotheses if parallel mode is active
3. Make ONE atomic change
4. git commit (before verification)
5. Run verify command → did the target metric improve?
Run guard command → did anything else break?
6. Improved → keep (extract lesson)
Worse → approved rollback strategy (git revert)
Crashed → fix or skip
7. Log the result to results log
8. Health check (disk, git, verify health)
9. If 3+ discards → REFINE; 5+ → PIVOT; 2 PIVOTs → web search
10. Repeat. Never stop. Never ask.
```
The loop runs **unbounded** unless you say `Iterations: N` during confirmation.
---
## Dual-Gate Verification
Two commands serve distinct purposes:
| Gate | Purpose | Fails means |
|------|---------|-------------|
| **Verify** | Did the target metric improve? | Change discarded, reverted |
| **Guard** | Did anything else break? | Change reworked (up to 2 attempts), then reverted |
Guard files are **never modified** by the loop.
Example verify + guard pair for a Python coverage run:
```text
Verify: pytest --cov=src --cov-report=term 2>&1 | grep TOTAL | awk '{print $NF}'
Guard: python -m mypy src --ignore-missing-imports
```
Example for TypeScript type cleanup:
```text
Verify: grep -r "any" src --include="*.ts" | wc -l
Guard: npx tsc --noEmit
```
---
## Modes
Codex maps your sentence to one of seven modes automatically — you never pick a mode explicitly.
### `loop` — iterate toward a measurable target (default)
```text
$codex-autoresearch
Improve test coverage in src/ to at least 80%
```
```text
$codex-autoresearch
Reduce bundle size — it's currently 2.3 MB, get it under 1 MB
```
### `plan` — turn a vague goal into a validated loop config
```text
$codex-autoresearch
I want to make our API faster but I don't know where to start
```
Codex will interview you (p95 latency vs throughput? which endpoint?) and produce a ready-to-run loop config.
### `fix` — repair errors until count reaches zero
```text
$codex-autoresearch
pytest is failing, 12 tests broken after the refactor — fix them all
```
### `debug` — evidence-driven root-cause hunting
```text
$codex-autoresearch
Our API returns 503 randomly under load, no idea why
```
Each iteration tests one falsifiable hypothesis. Codex presents evidence, not guesses.
### `security` — read-only STRIDE + OWASP audit
```text
$codex-autoresearch
Is this code secure?
```
### `ship` — readiness verification and release gating
```text
$codex-autoresearch
Ship it
```
### `exec` — one-shot execution with no loop
```text
$codex-autoresearch
Run the benchmark suite and summarize results
```
---
## Inline Configuration (optional)
You can override defaults inline during the confirmation step — no file edits needed:
| Phrase | Effect |
|--------|--------|
| `Iterations: 20` | Cap the loop at 20 iterations |
| `Parallel: 3` | Test 3 hypotheses concurrently per round |
| `Guard: npm test` | Override the inferred guard command |
| `Verify: <command>` | Override the inferred verify command |
| `Scope: src/api/` | Restrict changes to a subdirectory |
Example during confirmation:
```
You: Go. Iterations: 30, Guard: npm test, Scope: src/api/
```
---
## Cross-Run Learning
At the end of each iteration Codex writes a structured lesson to `.agents/skills/codex-autoresearch/lessons.md`:
```
Iteration 7 — KEPT
Hypothesis: replace explicit `any` with inferred generic in src/utils/mapper.ts
Change: added <T extends Record<string, unknown>> to mapKeys()
Result: any count 31 → 29
Lesson: Generic constraints on utility functions eliminate clusters of `any` downstream.
```
On session resume Codex reads this file first. Each new run benefits from prior runs.
**To resume an interrupted run:**
```text
$codex-autoresearch
Resume
```
Codex re-reads the lessons file, checks git state, re-establishes the baseline, and continues.
---
## Parallel Experiments
Request parallel mode during confirmation or at any time:
```text
You: Go, parallel 4
```
Codex runs four hypotheses concurrently, keeps the best result, discards the rest. Useful when hypothesis space is large.
---
## Pivot Protocol
If the loop stalls, escalation happens automatically:
| Consecutive discards | Action |
|---------------------|--------|
| 3 | **REFINE** — narrow hypothesis, try smaller atomic changes |
| 5 | **PIVOT** — change strategy entirely |
| 2 PIVOTs | **Web search** — Codex fetches external references to unstick itself |
You are never asked for permission during escalation. The loop continues.
---
## Real Code Examples
### Example 1 — TypeScript `any` elimination (Python verify script)
If you want a custom verify script instead of a one-liner:
```python
# scripts/count_any.py
import subprocess, sys
result = subprocess.run(
["grep", "-r", "--include=*.ts", r"\bany\b", "src/"],
capture_output=True, text=True
)
count = len(result.stdout.strip().splitlines())
print(count)
sys.exit(0) # always exit 0; the number is what matters
```
Tell Codex during confirmation:
```text
Verify: python scripts/count_any.py
Guard: npx tsc --noEmit
```
### Example 2 — pytest coverage loop (Python)
```python
# scripts/coverage_pct.py
import subprocess, re, sys
out = subprocess.check_output(
["pytest", "--cov=src", "--cov-report=term", "-q"],
stderr=subprocess.STDOUT, text=True
)
match = re.search(r"TOTAL\s+\d+\s+\d+\s+(\d+)%", out)
if match:
print(int(match.group(1)))
sys.exit(0)
print(0)
sys.exit(0)
```
```text
$codex-autoresearch
Improve test coverage — target 85%
Verify: python scripts/coverage_pct.py
Guard: python -m mypy src
Direction: higher
Target: 85
Iterations: 50
```
### Example 3 — bundle size loop (Node.js project)
```bash
# scripts/bundle_size.sh
#!/usr/bin/env bash
npm run build --silent 2>/dev/null
du -k dist/bundle.js | awk '{print $1}'
```
```text
$codex-autoresearch
Reduce our JS bundle size, currently ~2300 KB, target under 900 KB
Verify: bash scripts/bundle_size.sh
Guard: npm test
Direction: lower
Target: 900
```
### Example 4 — lint warning count (any language)
```bash
# scripts/lint_count.sh
#!/usr/bin/env bash
npx eslint src/ --format json 2>/dev/null \
| python3 -c "import sys,json; d=json.load(sys.stdin); print(sum(len(f['messages']) for f in d))"
```
```text
$codex-autoresearch
Get our ESLint warning count to zero
Verify: bash scripts/lint_count.sh
Direction: lower
Target: 0
```
---
## Unattended Runs
For overnight or long runs, ensure Codex CLI approval settings do not interrupt `git commit` or `git revert` commands. The simplest option is to run in a disposable or sandboxed repo clone:
```bash
git clone . /tmp/autoresearch-sandbox
cd /tmp/autoresearch-sandbox
# launch Codex here with full permissions
```
Results accumulate in git history. Pull the winning commits back to your main repo when done:
```bash
# in your main repo
git fetch /tmp/autoresearch-sandbox main
git cherry-pick <winning-commit-sha>
```
---
## Session Artifacts
| File | Contents |
|------|----------|
| `.agents/skills/codex-autoresearch/lessons.md` | Structured lessons from every iteration |
| `.agents/skills/codex-autoresearch/results.log` | Full per-iteration log (metric value, kept/reverted, elapsed) |
| `.agents/skills/codex-autoresearch/session.json` | Current session state for resume |
These files persist across Codex sessions. Delete them to start fresh.
---
## Troubleshooting
**Loop reverts every change:**
- Verify command may be returning a non-numeric value. Test it manually: `bash -c "<your verify command>"` should print a single number.
- Metric direction may be wrong. Confirm `Direction: lower` or `Direction: higher` during setup.
**Guard fires on unrelated files:**
- Narrow scope: `Scope: src/specific-module/`
- Or tell Codex explicitly: `Do not touch tests/` during confirmation.
**Session resume picks up wrong baseline:**
- Delete `session.json` to force a fresh baseline: `rm .agents/skills/codex-autoresearch/session.json`
**Parallel mode produces merge conflicts:**
- Codex handles this internally via the pivot protocol, but if it gets stuck, reduce parallelism: `Parallel: 2`
**Codex asks questions mid-loop:**
- This means a guard crash produced ambiguous output. Pre-empt it by specifying `Guard: <command> || true` if guard failures should be non-fatal, or by giving Codex fuller sandbox permissions so it can run git commands freely.
**Loop hits PIVOT but makes no progress:**
- Supply a seed hypothesis during confirmation: `Hint: try tree-shaking unused imports first`
- Or run `plan` mode first to produce a richer hypothesis list before switching to `loop`.
---
## Quick Reference
```text
# Start a loop
$codex-autoresearch
<your goal in one sentence>
# Resume interrupted run
$codex-autoresearch
Resume
# Bounded run
$codex-autoresearch
<goal> — Iterations: 25
# Parallel hypotheses
$codex-autoresearch
<goal> — Parallel: 4
# Force a mode
$codex-autoresearch fix
pytest has 8 failures, repair them
# Read-only audit
$codex-autoresearch security
Audit src/api/ for injection vulnerabilities
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