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.
git clone --depth 1 https://github.com/topprismdata/cultivating-ml-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/commands/topprismdata/cultivating-ml-agent/dev-docs-update)<a href="https://agentmods.dev/commands/topprismdata/cultivating-ml-agent/dev-docs-update"><img src="https://agentmods.dev/badge/commands/topprismdata/cultivating-ml-agent/dev-docs-update/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/commands/topprismdata/cultivating-ml-agent/dev-docs-update"><img src="https://agentmods.dev/badge/commands/topprismdata/cultivating-ml-agent/dev-docs-update.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 | $0.00009 | $0.00190 |
| Opus 5.5 | $0.00004 | $0.00076 |
| Sonnet 5.5 | $0.00002 | $0.00038 |
| Haiku 4.5 | $0.00001 | $0.00019 |
Grade A, and why
dev-docs-update 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 2mo 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
/dev-docs-update — Refresh Dev Docs
Append latest progress to dev/active/-tasks.md. Call this before /clear or session end.
Usage
/dev-docs-update [task-slug]
If no slug given, use the most recently modified triple in dev/active/.
What This Does
- Find the active task triple (by slug or recency)
- Append a "Session summary" section to context.md with:
- What was done this session
- Decisions made
- Open questions
- Mark completed items in tasks.md
- Confirm to the user
When To Use This
- Before
/clear(preserve context) - Before ending a long session
- After a breakthrough (capture reasoning)
- After a dead end (so future sessions know)
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.
- 2mo ago First seen · 32 lines · 9 tokens per session scan A 8684a95de9da
dev-docs-update is a command published in the GitHub repository topprismdata/cultivating-ml-agent (5 stars, last pushed 25d ago), licensed MIT. It adds 9 tokens to every session and 190 once invoked, about $0.0000 per session on Opus 5.5. 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.
dev-docs-update compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dev-docs-updatetopprismdata/cultivating-ml-agent | Command | 5 | 25d ago | MIT | A | 9 | Claude Code |
| tokenless-statsalibaba/anolisa | Command | 603 | 1mo ago | Apache-2.0 | A | 10 | Claude Code |
| evolve-lite-subscribeAgentToolkit/altk-evolve | Command | 135 | 3d ago | Apache-2.0 | A | 23 | Claude Code |
| agent-brain-graphSpillwaveSolutions/agent-brain | Command | 119 | 1mo ago | MIT | A | 16 | Claude Code |
| graphifymycelium-hq/ai-brain-starter | Command | 50 | 2d ago | MIT | A | 13 | Claude Code |
| scorecardbrainOS-HQ/brain-os | Command | 6 | 3d ago | MIT | A | 0 | Claude Code |
| slm-governancequalixar/superlocalmemory | Command | 273 | 9d ago | AGPL-3.0 | A | 117 | GitHub Copilot |