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/sequenzia/agent-alchemy/oc-update-commandnpx skills add sequenzia/agent-alchemy --skill oc-update-commandgit clone --depth 1 https://github.com/sequenzia/agent-alchemyWhat 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 | $0.00062 | $0.01163 |
| Opus 5 | $0.00031 | $0.00581 |
| Sonnet 5 | $0.00012 | $0.00233 |
| Haiku 4.5 | $0.00006 | $0.00116 |
Grade A, and why
oc-update-command 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Update OpenCode Command
You are initiating the OpenCode command update workflow. This process locates an existing command, researches current platform best practices, analyzes the command for issues, and applies updates with validation.
Critical Rules
AskUserQuestion is MANDATORY
IMPORTANT: You MUST use the AskUserQuestion tool for ALL questions to the user. Never ask questions through regular text output.
Phase 1: Load References
Read the OpenCode platform overview and command guide:
- Read
${CLAUDE_PLUGIN_ROOT}/references/platform-overview.md - Read
${CLAUDE_PLUGIN_ROOT}/references/command-guide.md
Phase 2: Locate Command
Find the command to update.
If $ARGUMENTS is provided:
- Check if the argument is a file path — read it directly
- If it's a command name — search for
{name}.mdin known directories
If no arguments:
- Search for OpenCode commands in the workspace:
Globfor.opencode/commands/*.mdGlobfor~/.config/opencode/commands/*.md
- Present found commands using
AskUserQuestion:- Header: "Select Command"
- Question: "Which command would you like to update?"
- Options: List found commands (up to 4; include "Other" for custom path)
Read the selected command file and store its contents.
Phase 3: Research
Spawn the researcher agent to check latest documentation:
Task:
subagent_type: "agent-alchemy-opencode-tools:oc-researcher"
prompt: |
Research the latest OpenCode documentation for command format compatibility.
Artifact type: command
Current artifact content:
---
{contents of the command file}
---
Specific questions:
1. Are there any new command frontmatter fields?
2. Has the $VARIABLE system changed?
3. Are there new command discovery paths?
4. Any changes to the model override behavior?
Reference guide: ${CLAUDE_PLUGIN_ROOT}/references/command-guide.md
Phase 4: Analyze
Compare the existing command against current best practices:
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.
- 2d ago First seen · 177 lines · 62 tokens per session scan A b1eb54a31c6b
oc-update-command is a skill published in the GitHub repository sequenzia/agent-alchemy (43 stars, last pushed 3mo ago), licensed MIT. It adds 62 tokens to every session and 1,163 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.
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