self-learning

self-learning is a skill for Claude Code, Codex from Grinv/tmdb-mcp. It costs 41 tokens per session (239 once invoked), scanned A, original, MIT.

A follow-up practice for improving an audit checklist after the checklist misses a bug it should have caught.

In plain words
What is it for?
Use it after reporting or fixing an audit finding to sharpen an existing checklist item or add a short new one.
Why use it?
It prevents the same kind of mistake from being missed again by improving the instructions, not only correcting the code.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/grinv/tmdb-mcp/self-learning
Any agent
npx skills add Grinv/tmdb-mcp --skill self-learning
Clone the repo
git clone --depth 1 https://github.com/Grinv/tmdb-mcp

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-learning

README.md
[![agentmods](https://agentmods.dev/badge/skills/grinv/tmdb-mcp/self-learning.svg)](https://agentmods.dev/skills/grinv/tmdb-mcp/self-learning)
Your own site
<a href="https://agentmods.dev/skills/grinv/tmdb-mcp/self-learning"><img src="https://agentmods.dev/badge/skills/grinv/tmdb-mcp/self-learning.svg" alt="Measured on agentmods" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 239 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00041 $0.00239
Opus 5 $0.00020 $0.00120
Sonnet 5 $0.00008 $0.00048
Haiku 4.5 $0.00004 $0.00024

Measured 3d ago against content hash cee11dd5c939, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

self-learning 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 3d 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.

Origin

Copies of this mod

3 near-identical copies found in the catalogue:

.agents/skills/self-learning/SKILL.md · 22 lines

What it actually says

Self-learning — close the gap in the skill that missed it

For each confirmed finding from an audit/check pass:

  1. Identify which skill's checklist should have caught this — don't stop at fixing the code.
  2. If an existing bullet already covers this general class of check, sharpen/specialize it with the missed detail — don't add a new bullet next to it.
  3. Only add a brand-new bullet if nothing existing is even adjacent.
  4. Keep additions to 1-2 lines. No walkthroughs, no multi-sentence examples — these files compound over many passes; a short parenthetical example is fine, a paragraph is not.
  5. If a skill file is drifting toward bloat (bullets turning into short essays), that's a signal to prune/merge, not to keep appending — periodically re-read the whole file and tighten instead of only adding.
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. 3d ago First seen · 22 lines · 41 tokens per session scan A cee11dd5c939

Subscribe to this mod's changes

self-learning is a skill published in the GitHub repository Grinv/tmdb-mcp (4 stars, last pushed 10d ago), licensed MIT. It adds 41 tokens to every session and 239 once invoked, about $0.0002 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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