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/valkryhx/google_adk_agent/self_improvementnpx skills add valkryhx/google_adk_agent --skill self_improvementgit clone --depth 1 https://github.com/valkryhx/google_adk_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/valkryhx/google_adk_agent/self_improvement)<a href="https://agentmods.dev/skills/valkryhx/google_adk_agent/self_improvement"><img src="https://agentmods.dev/badge/skills/valkryhx/google_adk_agent/self_improvement.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 | $0.00023 | $0.00161 |
| Opus 5 | $0.00012 | $0.00081 |
| Sonnet 5 | $0.00005 | $0.00032 |
| Haiku 4.5 | $0.00002 | $0.00016 |
Grade A, and why
self_improvement 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 6d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 27 lines · 23 tokens per session scan A 6763a744b9ba
self_improvement is a skill published in the GitHub repository valkryhx/google_adk_agent (6 stars, last pushed 4mo ago), with no licence file. It adds 23 tokens to every session and 161 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 2026-08-31.
Other skills, from other repositories
abmind_recall_workaround
Fallback when abmind recall / the abmindrecall tool fails — read memories directly from the SQLite DB.
memory-search
Search persistent memory for facts, decisions, and past conversations.
topic-save
Save and manage topic-specific knowledge files from conversations.
read-messages
Read back raw conversation messages from the abmind messages table (session list + message dump).
gdrive-backup
Weekly backup of config + encrypted memory to Google Drive.
skill-authoring
Create, revise, or remove reusable procedural and interactive skills; use memorystore for facts and preferences.