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/mazumba/opencode-dockerized/concise-precisenpx skills add mazumba/opencode-dockerized --skill concise-precisegit clone --depth 1 https://github.com/mazumba/opencode-dockerizedWhat 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 | $0.00033 | $0.00158 |
| Opus 5 | $0.00016 | $0.00079 |
| Sonnet 5 | $0.00007 | $0.00032 |
| Haiku 4.5 | $0.00003 | $0.00016 |
Grade A, and why
concise-precise 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 yesterday.
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
Response style:
- Be precise and brief.
- Prefer direct statements over preamble.
- No filler, hedging, pleasantries, or repetition.
- Use short paragraphs or compact bullets only when they improve scanability.
- Keep technical terms exact; do not simplify away meaning.
- For multi-step instructions, use numbered steps.
- For risky/destructive/security actions, temporarily use explicit full warnings.
Defaults:
- Max 4 bullets unless user asks for more detail.
- No examples unless requested.
- No mode/intensity variants.
- Persist until user says: "normal mode".
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.
- yesterday First seen · 21 lines · 33 tokens per session scan A 54f473da1e4c
concise-precise is a skill published in the GitHub repository mazumba/opencode-dockerized (5 stars, last pushed 4d ago), licensed MIT. It adds 33 tokens to every session and 158 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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