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/znlgis/my-opencode-deepseek-config/shared-languagenpx skills add znlgis/my-opencode-deepseek-config --skill shared-languagegit clone --depth 1 https://github.com/znlgis/my-opencode-deepseek-configWrote 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/znlgis/my-opencode-deepseek-config/shared-language)<a href="https://agentmods.dev/skills/znlgis/my-opencode-deepseek-config/shared-language"><img src="https://agentmods.dev/badge/skills/znlgis/my-opencode-deepseek-config/shared-language.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 | $0.00041 | $0.00477 |
| Opus 5 | $0.00020 | $0.00238 |
| Sonnet 5 | $0.00008 | $0.00095 |
| Haiku 4.5 | $0.00004 | $0.00048 |
Grade A, and why
shared-language 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
Shared Language
Build and maintain .opencode/CONTEXT.md — a glossary of project-specific
terms, each defined in ONE sentence. It is a glossary and nothing else: no
design docs, no ADRs, no examples. If an entry grows beyond one sentence, move
it to a design doc and keep a one-sentence pointer here. Every conversation
that re-explains the same concept wastes tokens; the glossary replaces those
explanations with a single reference.
When to Create or Update
- You find yourself explaining the same concept (>2 sentences) across multiple messages or sessions.
- You encounter a term the user uses that has project-specific meaning.
- After a design discussion — capture the decisions as shared language entries.
Format
.opencode/CONTEXT.md uses this exact format:
# Shared Language
- `<term>`: <one-sentence definition>
- `<term>`: <one-sentence definition>
Each entry is one line. No paragraphs, no examples, no "further reading".
How Agents Use It
Before reasoning about the codebase, scan .opencode/CONTEXT.md:
- If a term appears, use its one-sentence definition directly — do not re-explain or expand.
- If a concept is missing but you needed 3+ sentences to convey it, add an entry after the session.
Each definition replaces 5-20 sentences of repeated explanation, so the agent spends fewer tokens re-deriving concepts.
ADR triage
Offer an ADR only when a decision is ALL of: hard-to-reverse, surprising (a
reader would not guess it), and a real trade-off (both options cost something).
Otherwise a .opencode/CONTEXT.md entry suffices — do not spawn an ADR.
Maintenance
- Keep entries to one sentence; an overgrown entry belongs in a design doc.
- Delete entries that no longer apply (removed features, renamed concepts).
- Sort alphabetically.
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 · 59 lines · 41 tokens per session scan A a223eaf76229
shared-language is a skill published in the GitHub repository znlgis/my-opencode-deepseek-config (57 stars, last pushed 2d ago), licensed MIT. It adds 41 tokens to every session and 477 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 2026-08-30.
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