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 sodam-ai/SoDam-Agent --skill experience-improvergit clone --depth 1 https://github.com/sodam-ai/SoDam-AgentWrote 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/sodam-ai/sodam-agent/experience-improver)<a href="https://agentmods.dev/skills/sodam-ai/sodam-agent/experience-improver"><img src="https://agentmods.dev/badge/skills/sodam-ai/sodam-agent/experience-improver/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/sodam-ai/sodam-agent/experience-improver"><img src="https://agentmods.dev/badge/skills/sodam-ai/sodam-agent/experience-improver.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 | $0.00027 | $0.00348 |
| Opus 5.5 | $0.00011 | $0.00139 |
| Sonnet 5.5 | $0.00005 | $0.00070 |
| Haiku 4.5 | $0.00003 | $0.00035 |
Grade A, and why
experience-improver scanned grade A with 0 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 20d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
경험 개선
훅 turnKey가 있는 작업은 finish의 lesson으로 실제 성공 절차를 남긴다. lesson 형식은 agent-builder의 spec과 같다. 원문·도구 응답·개인 기억을 수집하지 않는다. 다음 SessionStart/dispatch에서 반환된 lesson은 증거 파일 해시를 다시 검사한 최근 성공 최대 3개다. 변경되거나 없는 증거의 lesson은 제외된다. 직접 record한 지표는 호출자가 보고한 값이고 훅 finish의 시간은 측정값이다. 어느 경로도 의미적 품질의 독립 검증을 대체하지 않는다.
개인 기억과 분리된 프로젝트 .sodam-agent-claude에서 구조화된 최소 결과만 관리한다. 완료 문장 자체를 성공 데이터로 쓰지 않는다. 역할·환경·권한·품질 원인을 분리한다. 후보 생성→템플릿 검증→pilot→원인 발견에 사용하지 않은 서로 다른 2개 작업의 기존 방식과 쌍별 비교→확정 순서를 따른다. 품질·시간·수정이 악화되면 rollback한다. 기준·권한·실패 기록을 자동 변경하지 않는다. 실제 작업 품질은 별도로 검토한다.
사용자·상위 지시와 원본 보존을 우선한다. 현재 권한·도구별 쓰기 게이트를 따르며 내부 관점과 독립 검증을 구분한다.
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.
- 20d ago First seen · 13 lines · 27 tokens per session scan A 39604946b00e
experience-improver is a skill published in the GitHub repository sodam-ai/SoDam-Agent (16 stars, last pushed 20d ago), licensed Apache-2.0. It adds 27 tokens to every session and 348 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-21.
experience-improver compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| experience-improversodam-ai/SoDam-Agent | Skill | 16 | 20d ago | Apache-2.0 | A | 27 | Claude Code |
| kituplathe-cli/kitup | Skill | 6 | 8d ago | Apache-2.0 | A | 47 | Claude Code, Codex |
| feishuHmbown/CodeWhale | Skill | 41k | 2d ago | MIT | A | 33 | Claude Code, Codex |
| interviewHmbown/CodeWhale | Skill | 41k | 2d ago | MIT | A | 40 | Claude Code, Codex |
| refocusingmvschwarz/openrig | Skill | 8.8k | today | Apache-2.0 | A | 59 | Claude Code |
| atmos-validationcloudposse/atmos | Skill | 1.4k | today | Apache-2.0 | A | 31 | Claude Code |
| gamedev-shadersericrisco/rsc-harness | Skill | 573 | today | MIT | A | 102 | Claude Code, Codex |