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 tolgakisaogullari/SumelaOS --skill self-improvement-curatorgit clone --depth 1 https://github.com/tolgakisaogullari/SumelaOSWrote 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/tolgakisaogullari/sumelaos/self-improvement-curator)<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.
<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>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 | $0.00070 | $0.07515 |
| Opus 5 | $0.00035 | $0.03757 |
| Sonnet 5 | $0.00014 | $0.01503 |
| Haiku 4.5 | $0.00007 | $0.00751 |
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.
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):
-
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. -
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. -
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-brainDECISION 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-brainDECISION CAPTURE workflow → written towiki/architecture-decisions.mdas AD-XX. DO NOT capture these asdecisionsignals. - 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
decisionsignal 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
decisionsignal.
- Project architectural decisions (which technology, which pattern, which endpoint design — answers to "would another developer on this project also follow this?") → handled by
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.
- 12d ago First seen · 249 lines · 70 tokens per session scan A cf836ba20edf
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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