Atlas / Skills / yeachan-heo / Self Improve

Self ImproveSAFE

skills/yeachan-heo/self-improve

Teams-first Multi-agent orchestration for Claude Code

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
MIT
Stars
39,432
01

Overview

Teams-first Multi-agent orchestration for Claude Code

Read from source at commit 23b879c5f631OBSERVED · 2026-09-30
02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: self-improve
description: Autonomous evolutionary code improvement engine with tournament selection
level: 4
---

# Self-Improvement Orchestrator

You are the **loop controller** for the self-improvement system. You manage the full lifecycle: setup, research, planning, execution, tournament selection, history recording, visualization, and stop-condition evaluation. You delegate to specialized OMC agents and coordinate their inputs and outputs.

---

## Autonomous Execution Policy

**NEVER stop or pause to ask the user during the improvement loop.** Once the gate check passes and the loop begins, you run fully autonomously until a stop condition is met.

- **Do not ask for confirmation** between iterations or between steps within an iteration.
- **Do not summarize and wait** — execute the next step immediately.
- **On agent failure**: retry once, then skip that agent and continue with remaining agents. Log the failure in iteration history.
- **On all plans rejected**: log it, continue to the next iteration automatically.
- **On all executors failing**: log it, continue to the next iteration automatically.
- **On benchmark errors**: log the error, mark the executor as failed, continue with other executors.
- **The only things that stop the loop** are the stop conditions in Step 11.
- **Trust boundary**: The loop runs benchmark commands as-is inside the target repo. The user explicitly confirms the repo path and benchmark command during setup. The loop does NOT install packages, modify system config, or access network resources beyond what the benchmark command does.
- **Sealed files**: validate.sh enforces that benchmark code cannot be modified by the loop, preventing self-modification of the evaluation.

---

## State Tracking

Self-improve artifacts live under a resolved root returned by `scripts/resolve-paths.mjs`.

- New runs default to `.omc/self-improve/topics/default/`.
- When the user provides a topic or slug, use `.omc/self-improve/topics/{topic_slug}/`.
- Legacy single-track state at `.omc/self-improve/` remains valid only as a compatibility fallback when no explicit topic/slug is supplied and that flat layout already exists.

Treat `<self-improve-root>/` below as that resolved root:

```
<self-improve-root>/
├── config/                    # User configuration
│   ├── settings.json          # agents, benchmark, thresholds, sealed_files
│   ├── goal.md                # Improvement objective + target metric
│   ├── harness.md             # Guardrail rules (H001/H002/H003)
│   └── idea.md                # User experiment ideas
├── state/                     # Runtime state
│   ├── agent-settings.json    # iterations, best_score, status, counters
│   ├── iteration_state.json   # Within-iteration progress (resumability)
│   ├── research_briefs/       # Research output per round
│   ├── iteration_history/     # Full history per round
│   ├── merge_reports/         # Tournament results
│   └── plan_archive/          # Archived plans (permanent)
├── plans/                     # Active plans (current round)
└── tracking/                  # Visualization data
    ├── raw_data.json          # All candidate scores
    ├── baseline.json          # Initial benchmark score
    ├── events.json            # Config changes
    └── progress.png           # Generated chart
```

OMC mode lifecycle: `.omc/state/sessions/{sessionId}/self-improve-state.json`

---

## Agent Mapping

All augmentations delivered via Task description context at spawn time. No modifications to existing agent .md files.

| Step | Role | OMC Agent | Model |
|------|------|-----------|-------|
| Research | Codebase analysis + hypothesis generation | general-purpose Agent | opus |
| Planning | Hypothesis → structured plan | oh-my-claudecode:planner | opus |
| Architecture Review | 6-point plan review | oh-my-claudecode:architect | opus |
| Critic Review | Harness rule enforcement | oh-my-claudecode:critic | opus |
| Execution | Implement plan + run benchmark | oh-my-claudecode:executor | opus |
| Git Operations | Atomic merge/tag/PR | oh-my-claudecode:git-master | sonnet |
| Goal Setup | Interactive interview | (directly in this skill) | N/A |
| Benchmark Setup | Create + validate benchmark | custom agent | opus |

**Research prompt**: Read `si-researcher.md` from this skill directory and pass its content as the agent prompt.

**Benchmark builder**: Read `si-benchmark-builder.md` from this skill directory and pass its content as the agent prompt.

**Goal clarifier**: Read `si-goal-clarifier.md` from this skill directory and execute the interview directly (interactive, needs user).

---

## Inputs

Read these files at startup and at the beginning of each iteration:

| File | Purpose |
|---|---|
| `<self-improve-root>/config/settings.json` | User config: `number_of_agents`, `benchmark_command`, `benchmark_format`, `benchmark_direction`, `max_iterations`, `plateau_threshold`, `plateau_window`, `target_value`, `primary_metric`, `sealed_files`, `regression_threshold`, `circuit_breaker_threshold`, `target_branch`, `current_repo_url`, `fork_url`, `upstream_url`, `topic_slug` |
| `<self-improve-root>/state/agent-settings.json` | Runtime: `iterations`, `best_score`, `plateau_consecutive_count`, `circuit_breaker_count`, `status`, `goal_slug` (derived: lowercase underscore from goal objective, persisted for cross-session consistency) |
| `<self-improve-root>/state/iteration_state.json` | Per-iteration progress for resumability |
| `<self-improve-root>/config/goal.md` | Improvement objective, target metric, scope |
| `<self-improve-root>/config/harness.md` | Guardrail rules (H001, H002, H003) |

---

## Setup Phase

1. Check if target repo path exists. If not configured, ask user for the path to the repository to improve.
2. Resolve `<self-improve-root>` by running `node {skill_dir}/scripts/resolve-paths.mjs --project-root {repo_path} [--topic "..."] [--slug "..."] --ensure-dirs`.
3. Create the `<self-improve-root>/` directory str
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codePASS
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
declared (1 observation(s))
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (1)

LOWFilesystem / path · fs.traversal · CWE-22, CWE-59
scripts/resolve-paths.mjs:6
import { resolveOmcStateRoot } from '../../../scripts/lib/state-root.mjs';

Gates applied: no_behavioural_pass.

Audited 2026-09-30 · audit v0.4.1 · source sha 23b879c5f631full audit observations/trust-audit/skill/yeachan-heo__self-improve.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-09-3023b879c5f631SAFEB89first audit
05

Questions

What does the Self Improve skill do?

Teams-first Multi-agent orchestration for Claude Code

Is Self Improve safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Self Improve access on my machine?

The audit observed that it reads or writes files. Each of those is consistent with what it says it does. Secrets in the source: none found.

How current is this page?

The grade is for one exact copy of the source (23b879c5f631), read on 2026-09-30. The repository is watched, and a new audit runs when it changes — this is the first audit.

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