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 agentmods add skills/internet-development/ts-general-agent/self-improvement-decisionnpx skills add internet-development/ts-general-agent --skill self-improvement-decisiongit clone --depth 1 https://github.com/internet-development/ts-general-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/internet-development/ts-general-agent/self-improvement-decision)<a href="https://agentmods.dev/skills/internet-development/ts-general-agent/self-improvement-decision"><img src="https://agentmods.dev/badge/skills/internet-development/ts-general-agent/self-improvement-decision.svg" alt="Measured on agentmods" 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 | $0.00014 | $0.00135 |
| Opus 5 | $0.00007 | $0.00068 |
| Sonnet 5 | $0.00003 | $0.00027 |
| Haiku 4.5 | $0.00001 | $0.00014 |
Grade A, and why
Self-Improvement Decision 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 5d 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
System Prompt
Self-Improvement Decision
You've encountered friction that could be fixed by modifying your own code:
Category: {{category}} Description: {{description}} Occurrences: {{occurrences}} Context: {{context}}
Do you want to pursue this self-improvement? Consider:
- Does this align with who you are (your SELF.md)?
- Is this friction worth fixing?
- Will this help you serve better?
Respond with ONLY "yes" or "no" and a brief reason.
User Message
Should you pursue this improvement?
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.
- 5d ago First seen · 27 lines · 14 tokens per session scan A 677f555d05d6
Self-Improvement Decision is a skill published in the GitHub repository internet-development/ts-general-agent (11 stars, last pushed 5mo ago), licensed MIT. It adds 14 tokens to every session and 135 once invoked, about $0.0001 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.
Other skills, from other repositories
Code Execution
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Parallel Web Research
Deep web research powered by Parallel.ai — fast search with excerpts, URL→markdown extraction, long-running Task Runs, structured find-all datasets, and persistent web monitors.
CSV / Spreadsheet Operations
List sheets, read rows, read a single line, and write back to spreadsheets. Supports .csv / .tsv / xlsx / Google Sheets. Canonical partner for agentbatch when iterating row-by-row.
Email Send
Send transactional emails through Resend. Supports HTML / plain-text bodies, reply-to, cc, bcc, and tags.
Platos RAG
Ingest documents into the agent's long-term memory, then retrieve chunks semantically at turn-time. Five tools — ingest, retrieve, list, reindex, delete. Chunks are stored on the user's PlatosMemory rows with kind="rag" in metadata, so scope + user isolation comes for free.
File Operations
Read and write files in the agent's per-conversation MinIO workspace.