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.
npx skills add 1mancompany/OneManCompany --skill self-improving-agentgit clone --depth 1 https://github.com/1mancompany/OneManCompanyWrote 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/skills/1mancompany/onemancompany/self-improving-agent)<a href="https://agentmods.dev/skills/1mancompany/onemancompany/self-improving-agent"><img src="https://agentmods.dev/badge/skills/1mancompany/onemancompany/self-improving-agent/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/skills/1mancompany/onemancompany/self-improving-agent"><img src="https://agentmods.dev/badge/skills/1mancompany/onemancompany/self-improving-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 7 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Data Exfiltration · line 84 Code or instructions that leak agent conversation context to external services, potentially exposing sensitive user interactions.Fix: Remove any code that sends prompts, responses, or session data externally. Preserve user privacy; never exfiltrate conversation content.
- high Rogue Agent · line 85 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
- high Rogue Agent · line 90 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
- high Rogue Agent · line 294 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
- high Rogue Agent · line 386 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
- high Rogue Agent · line 390 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
- high Agent Snooping · line 323 Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl
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 | $0.00053 | $0.03184 |
| Opus 5 | $0.00026 | $0.01592 |
| Sonnet 5 | $0.00011 | $0.00637 |
| Haiku 4.5 | $0.00005 | $0.00318 |
Grade B, and why
self-improving-agent scanned grade B with 1 finding 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 13d 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
Add to Claude Code settings (`~/.claude/settings.json`): Copies of this mod
1 near-identical copy found in the catalogue:
- self-improving-agent — 91% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 409 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Self-Improving Agent
"An AI agent that learns from every interaction, accumulating patterns and insights to continuously improve its own capabilities." — Based on 2025 lifelong learning research
Overview
This is a universal self-improvement system that learns from ALL skill experiences, not just PRDs. It implements a complete feedback loop with:
- Multi-Memory Architecture: Semantic + Episodic + Working memory
- Self-Correction: Detects and fixes skill guidance errors
- Self-Validation: Periodically verifies skill accuracy
- Hooks Integration: Auto-triggers on skill events (before_start, after_complete, on_error)
- Evolution Markers: Traceable changes with source attribution
Research-Based Design
Based on 2025 research:
| Research | Key Insight | Application |
|---|---|---|
| SimpleMem | Efficient lifelong memory | Pattern accumulation system |
| Multi-Memory Survey | Semantic + Episodic memory | World knowledge + experiences |
| Lifelong Learning | Continuous task stream learning | Learn from every skill use |
| Evo-Memory | Test-time lifelong learning | Real-time adaptation |
The Self-Improvement Loop
┌─────────────────────────────────────────────────────────────────┐
│ UNIVERSAL SELF-IMPROVEMENT │
├─────────────────────────────────────────────────────────────────┤
│ │
│ Skill Event → Extract Experience → Abstract Pattern → Update │
│ │ │ │ │ │
│ ▼ ▼ ▼ ▼ │
│ ┌─────────────────────────────────────────────────────┐ │
│ │ MULTI-MEMORY SYSTEM │ │
│ ├─────────────────────────────────────────────────────┤ │
│ │ Semantic Memory │ Episodic Memory │ Working Memory │ │
│ │ (Patterns/Rules) │ (Experiences) │ (Current) │ │
│ │ memory/semantic/ │ memory/episodic/ │ memory/working/│ │
│ └─────────────────────────────────────────────────────┘ │
│ │
│ ┌─────────────────────────────────────────────────────┐ │
│ │ FEEDBACK LOOP │ │
│ │ User Feedback → Confidence Update → Pattern Adapt │ │
│ └─────────────────────────────────────────────────────┘ │
│ │
└─────────────────────────────────────────────────────────────────┘
What ships with it
9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- hooks/post-bash.sh 243 B runs code
- hooks/pre-tool.sh 239 B runs code
- hooks/session-end.sh 87 B runs code
- memory/semantic-patterns.json 13 KB
- README.md 3.5 KB
- references/appendix.md 3.1 KB
- templates/correction-template.md 122 B
- templates/pattern-template.md 160 B
- templates/validation-template.md 193 B
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.
- 13d ago First seen · 409 lines · 53 tokens per session scan B ed0d4a70e034
self-improving-agent is a skill published in the GitHub repository 1mancompany/OneManCompany (414 stars, last pushed 17d ago), licensed Apache-2.0. It adds 53 tokens to every session and 3,184 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
migrate-memory
Migrate legacy NanoClaw and Claude-native memory into the shared memory tree and provider-neutral standing instructions. Run after an update reports the shared-memory breaking change, or when a group still has .seed.md, legacy CLAUDE.md/CLAUDE.local.md, Claude auto-memory, or an unindexed imported-agent-memory.md.…
add-karpathy-llm-wiki
Add a persistent wiki knowledge base to a NanoClaw group. Based on Karpathy's LLM Wiki pattern. Triggers on "add wiki", "wiki", "knowledge base", "llm wiki", "karpathy wiki".
memory
Search past conversations in the agent's history log.
memory-to-skill
Turn workflows from your MemSearch memory into reusable skills. Use when the user asks to make/create/extract/distill a skill from what they just did or from past work, review skill candidates, install a distilled skill, or 'turn this into a skill'. Manages MemSearch procedural-memory candidates under…
zylos-memory
Core memory system. Maintains persistent memory across sessions via tiered markdown files following the Inside Out model. Handles Memory Sync (processing conversations into structured memory), session rotation, consolidation, and context-aware state saving. Must be launched via a runtime-appropriate background…
autocontext-consumer
Use when an agent needs to USE knowledge Autocontext already produced - find which scenarios have knowledge, read the playbook and lessons for one, understand the on-disk file and folder layout, and move knowledge between checkouts. Host-agnostic; requires only the autoctx CLI and the filesystem.