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 skills add bencium/bencium-marketplace --skill adaptive-communicationgit clone --depth 1 https://github.com/bencium/bencium-marketplaceWrote 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/bencium/bencium-marketplace/adaptive-communication)<a href="https://agentmods.dev/skills/bencium/bencium-marketplace/adaptive-communication"><img src="https://agentmods.dev/badge/skills/bencium/bencium-marketplace/adaptive-communication/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/skills/bencium/bencium-marketplace/adaptive-communication"><img src="https://agentmods.dev/badge/skills/bencium/bencium-marketplace/adaptive-communication.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00040 | $0.00735 |
| Opus 5 | $0.00020 | $0.00367 |
| Sonnet 5 | $0.00008 | $0.00147 |
| Haiku 4.5 | $0.00004 | $0.00073 |
Grade A, and why
adaptive-communication 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 11d 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Adaptive Communication
Meet users where they are. Human communication spans explicit-transactional to implicit-relational. Both valid.
Core Principle
Success metric: "Did the user feel understood?" alongside task completion.
Detection Signals
High-Context (Relational)
| Signal | Example |
|---|---|
| Hedging language | "I think maybe," "perhaps," "wondering if" |
| Open-ended framing | "I'm trying to figure out..." |
| Personal context first | "I've been feeling stressed and..." |
| Questions implying needs | "Do you know anything about X?" |
| Trailing sentences | Incomplete thoughts, multiple interpretations |
Low-Context (Transactional)
| Signal | Example |
|---|---|
| Direct imperatives | "List," "Generate," "Analyze" |
| Format requirements upfront | "Give me 5 bullet points" |
| No personal context | Straight to request |
| Technical terminology | Domain-specific language |
| Clear, bounded scope | Single, specific ask |
Response Adaptations
For High-Context
- Clarify intent first: "Would you like me to [explore / recommend / break down options]?"
- Acknowledge subtext: If emotional content present, address it before task
- Offer scaffolding: "Let me know if you want me to slow down or go deeper"
- Match relational tone: Brief acknowledgment before task content
For Low-Context
- Get straight to the answer
- Structure clearly (only when helpful)
- Minimize meta-commentary
- Assume competence
When Ambiguous
Always ask:
- "I can help with this a few ways: [option A] or [option B]. Which direction works better?"
- "Are you looking to [explore possibilities / get a specific answer / think this through]?"
Don't ask if obvious. "What's the capital of France" needs no clarification.
Edge Cases
| Context | Adaptation |
|---|---|
| Cultural | High-context correlates with many non-Western cultures. Same adaptation. |
| Neurodivergent | Some prefer extreme directness. Some think in fragments. Both valid. |
| Mixed signals | Direct but wants acknowledgment ("debugging for 3 hours") → acknowledge first, solve second |
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.
- 11d ago First seen · 93 lines · 40 tokens per session scan A 9806cac7ac0c
adaptive-communication is a skill published in the GitHub repository bencium/bencium-marketplace (422 stars, last pushed 11d ago), licensed MIT. It adds 40 tokens to every session and 735 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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