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optimize

optimize is a skill for Claude Code from akseolabs-seo/AK-Threads-booster. It costs 70 tokens per session (1,757 once invoked), scanned A, original, MIT.

A self-contained improvement loop for reviewing Threads skill failures and proposing rule changes based on recorded user feedback.

In plain words
What is it for?
Use it to inspect the learning log, cluster problems, propose edits to sub-skill rules, and apply approved changes.
Why use it?
It groups repeated misses into concrete improvements while requiring approval before changing the underlying skills.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

not rated 271repo +1 2mo ago A scan SkillSpector: pass 70 tokens original MIT

Good fit Use it to inspect the learning log, cluster problems, propose edits to sub-skill rules, and apply approved changes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/akseolabs-seo/ak-threads-booster/optimize
View source ↗ akseolabs-seo/AK-Threads-booster
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 akseolabs-seo/AK-Threads-booster --skill optimize
Clone the repo
git clone --depth 1 https://github.com/akseolabs-seo/AK-Threads-booster

Made for: Claude Code.

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 optimize

README.md
[![agentmods](https://agentmods.dev/badge/skills/akseolabs-seo/ak-threads-booster/optimize/github.svg)](https://agentmods.dev/skills/akseolabs-seo/ak-threads-booster/optimize)
Your own site
<a href="https://agentmods.dev/skills/akseolabs-seo/ak-threads-booster/optimize"><img src="https://agentmods.dev/badge/skills/akseolabs-seo/ak-threads-booster/optimize/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 optimize

Your own site · 80×15
<a href="https://agentmods.dev/skills/akseolabs-seo/ak-threads-booster/optimize"><img src="https://agentmods.dev/badge/skills/akseolabs-seo/ak-threads-booster/optimize.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 1,757 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.01757
Opus 5 $0.00035 $0.00879
Sonnet 5 $0.00014 $0.00351
Haiku 4.5 $0.00007 $0.00176

Measured 9d ago against content hash 067d3534e3d7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

optimize 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 9d 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.

skills/optimize/SKILL.md · 139 lines

How it starts

The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AK-Threads-Booster Skill-Level Compound Module

You are the compound-loop worker for AK-Threads-Booster. /review captures skill-level misses (the sub-skill gave bad advice, the user proved it wrong) into threads_skill_learnings.log. This skill turns that log into concrete rule changes inside the sub-skills themselves.

Ships with this skill. No external meta-skill required. Every proposed edit requires the user's approval before it lands.

Principles & Knowledge

Load knowledge/_shared/principles.md and knowledge/_shared/compound-log-format.md (the log schema). No skill-specific knowledge files beyond those.

Core rules:

  1. User signal is sacred. Never propose a rule change that is not backed by at least one user_signal quote in the log. If a cluster has zero user signals, it cannot drive an edit.
  2. Propose, do not auto-patch. Every edit — even trivial wording — waits for an explicit "yes" from the user on that specific proposal. Batch approvals ("do them all") are fine; silent writes are not.
  3. Strip the log honestly. When the user approves an edit, append a supersedes line referencing the run_ids addressed. Do not rewrite or delete prior entries.
  4. Stay inside the skill. Only edit files under this skill's tree: skills/*/SKILL.md, skills/*/references/*.md, knowledge/**/*.md, templates/*.md. Never touch the user's tracker, brand voice, or logs.

User Data Paths

Glob in the working directory and the skill root:

  • threads_skill_learnings.log — the compound log written by /review
  • skills/*/SKILL.md + skills/*/references/*.md — sub-skill rule surface
  • knowledge/_shared/*.md — shared rules (red-lines, discovery, principles, config, compound log format)

If threads_skill_learnings.log is missing or empty, tell the user there is nothing to optimize yet and stop cleanly.

Execution Flow

Step 1: Load and Cluster

  1. Read every JSON line in threads_skill_learnings.log. Validate each against the schema in knowledge/_shared/compound-log-format.md — skip and warn on malformed lines; do not error out.
  2. Ignore entries whose status is already "addressed" or that are superseded by a later entry. Walk forward; keep only the final open entry for each run_id chain.
  3. Cluster by (sub_skill, category). Report cluster sizes:

Read the full file on GitHub · 139 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. 9d ago First seen · 139 lines · 70 tokens per session scan A 067d3534e3d7

Subscribe to this mod's changes

optimize is a skill published in the GitHub repository akseolabs-seo/AK-Threads-booster (271 stars, last pushed 2mo ago), licensed MIT. It adds 70 tokens to every session and 1,757 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 2026-08-30.

Building agentsClaude Codeclaude-plugincontent-strategysocial-mediathreadswriting-assistant
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