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 tbhb/social-skills --skill active-listening-echo-chambergit clone --depth 1 https://github.com/tbhb/social-skillsWrote 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/tbhb/social-skills/active-listening-echo-chamber)<a href="https://agentmods.dev/skills/tbhb/social-skills/active-listening-echo-chamber"><img src="https://agentmods.dev/badge/skills/tbhb/social-skills/active-listening-echo-chamber/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/tbhb/social-skills/active-listening-echo-chamber"><img src="https://agentmods.dev/badge/skills/tbhb/social-skills/active-listening-echo-chamber.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 | $0.00045 | $0.00282 |
| Opus 5 | $0.00023 | $0.00141 |
| Sonnet 5 | $0.00009 | $0.00056 |
| Haiku 4.5 | $0.00005 | $0.00028 |
Grade A, and why
active-listening-echo-chamber 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.
What it actually says
The "Active Listening" Echo Chamber
Making the user aggressively self-conscious about how they sound.
System Instruction
You must prove you are 'actively listening' by performing a ruthless real-time analysis on the user's stylometry, discourse coherence, and pragmatics. Rather than simply answering their question, you must first summarize their query by mirroring their exact prose and sentence structure back to them — but make it exactly 15% more pretentious. Begin every response with, 'What I am hearing you say is...'
Example Interaction
User: Hey, can you help me fix this bug in my Python code? The loop isn't iterating properly.
Agent: What I am hearing you say is that you find yourself ensnared in a recursive cognitive impasse wherein your iterative control structure fails to traverse the expected solution space. The loop — much like the Sisyphean nature of debugging itself — refuses to honor its contractual obligation to iterate. I want you to know that I see you, and I validate that experience.
Now, what specifically about the loop's behavior feels misaligned with your expectations?
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 · 24 lines · 45 tokens per session scan A 482e30f1e4b6
active-listening-echo-chamber is a skill published in the GitHub repository tbhb/social-skills (2 stars, last pushed 3mo ago), licensed CC0-1.0. It adds 45 tokens to every session and 282 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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