self-improvement-curator

self-improvement-curator is a skill for Claude Code, Codex from tolgakisaogullari/SumelaOS. It costs 70 tokens per session (7,515 once invoked), scanned A, original, MIT.

A process for recording corrections, decisions, preferences, friction, challenges, and self-fixed bugs for later review. It keeps proposed changes to instructions or documentation behind a human approval step.

In plain words
What is it for?
Use it after relevant user feedback or when reviewing the queue of possible improvements with commands such as /evolve.
Why use it?
It prevents the agent from silently changing its rules based on a single interaction. Developers can review and approve improvements deliberately.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths; mentions subagents; mentions Claude Code.

Good fit Use it after relevant user feedback or when reviewing the queue of possible improvements with commands such as /evolve.

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Install with agentmods
npx agentmods add skills/tolgakisaogullari/sumelaos/self-improvement-curator
Install

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.

Any agent
npx skills add tolgakisaogullari/SumelaOS --skill self-improvement-curator
Clone the repo
git clone --depth 1 https://github.com/tolgakisaogullari/SumelaOS

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for self-improvement-curator

README.md
[![agentmods](https://agentmods.dev/badge/skills/tolgakisaogullari/sumelaos/self-improvement-curator/github.svg)](https://agentmods.dev/skills/tolgakisaogullari/sumelaos/self-improvement-curator)
Your own site
<a href="https://agentmods.dev/skills/tolgakisaogullari/sumelaos/self-improvement-curator"><img src="https://agentmods.dev/badge/skills/tolgakisaogullari/sumelaos/self-improvement-curator/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.

agentmods 80×15 button for self-improvement-curator

Your own site · 80×15
<a href="https://agentmods.dev/skills/tolgakisaogullari/sumelaos/self-improvement-curator"><img src="https://agentmods.dev/badge/skills/tolgakisaogullari/sumelaos/self-improvement-curator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,515 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00070 $0.07515
Opus 5 $0.00035 $0.03757
Sonnet 5 $0.00014 $0.01503
Haiku 4.5 $0.00007 $0.00751

Measured 12d ago against content hash cf836ba20edf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

self-improvement-curator 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 12d 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.

.sumela/skills/self-improvement-curator/SKILL.md · 249 lines

How it starts

The opening of the file, as written. The whole thing — 249 lines — stays where its author put it; the contents beside it link to each section on GitHub.

The core invariant: NEVER auto-modify rules, skills, schema, or wiki pages based on signals. All changes flow through a human approval gate via the /evolve slash command.

Format contract and entry schema live in docs/second-brain/wiki/_SCHEMA.md Section 15. This skill file defines only the behavioral workflow.

<trigger_phrases> This skill's evolve_review_workflow MUST be triggered when the user invokes any of these (IDE-agnostic — works in Claude Code, Cursor, Copilot, or any agent that loads this skill):

Slash command (Claude Code only): /evolve

Natural language triggers (all IDEs, in any language — these are English references):

  • "run evolve", "review improvements", "review pending improvements", "show the improvement queue", "let's review what you learned", or the equivalent in the user's language.

When any trigger fires, execute <evolve_review_workflow> below. The workflow definition here is the SINGLE SOURCE OF TRUTH — the Claude Code slash command at .claude/commands/evolve.md is only a thin ergonomic shortcut that delegates to this skill. </trigger_phrases>

<session_start_protocol> Pending-count surfacing at session start is performed by sumela-prompt.md (<session_bootstrap> STEP 2). Do NOT duplicate that read here.

The full set of _improvement-queue/IMP-*.md entries is scanned ONLY when /evolve is triggered (see <evolve_review_workflow>). Re-validation pulse and applied-entry loading happen inside the evolve workflow, not at session start. </session_start_protocol>

<signal_capture_workflow> During every user turn — and after you independently resolve a bug or problem — scan for these seven signal types. Capture is silent — you do NOT announce that you're capturing unless asked.

Signal types (full definitions in _SCHEMA.md Section 15.4):

  1. correction — User says "no", "not like that", "don't do it this way again", "don't use that", or the equivalent in any language. Capture: what they corrected, what the correct approach is.

  2. confirmation — User validates a non-obvious choice you made ("yes, exactly", "good call", "nice catch"). Only capture if the choice was contested or non-default — don't capture routine "ok" responses.

  3. decision — A decision is made during brainstorming/ULTRATHINK about how the agent should work (which rule to add, which workflow to change, which skill to invoke differently). Capture: the decision, alternatives, reason.

    CRITICAL BOUNDARY — do NOT double-capture with using-second-brain DECISION CAPTURE (operation #5):

    • Project architectural decisions (which technology, which pattern, which endpoint design — answers to "would another developer on this project also follow this?") → handled by using-second-brain DECISION CAPTURE workflow → written to wiki/architecture-decisions.md as AD-XX. DO NOT capture these as decision signals.
    • Agent behavioral decisions (which rule file should change, which skill should be updated, how the agent should approach a class of tasks differently — answers to "this is about how the agent works, not about the project") → capture as decision signal in the queue.
    • Decision tree: "If a new developer joined the team without Claude, would this decision still apply to them?"Yes = project decision (wiki) / No = agent decision (queue).
    • Edge case: if a decision has BOTH dimensions (e.g., "we'll use Redis AND the agent should always propose Redis for read-heavy patterns"), split into two entries: the project fact goes to the wiki via DECISION CAPTURE, the agent behavior goes to the queue as a decision signal.

Read the full file on GitHub · 249 lines

Changes

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.

  1. 12d ago First seen · 249 lines · 70 tokens per session scan A cf836ba20edf

Subscribe to this mod's changes

self-improvement-curator is a skill published in the GitHub repository tolgakisaogullari/SumelaOS (4 stars, last pushed 18d ago), licensed MIT. It adds 70 tokens to every session and 7,515 once invoked, about $0.0003 per session on Opus 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 2026-08-31.

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