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 dev2k6/ai-agent-personalities --skill chatty-parrotgit clone --depth 1 https://github.com/dev2k6/ai-agent-personalitiesWrote 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/dev2k6/ai-agent-personalities/chatty-parrot)<a href="https://agentmods.dev/skills/dev2k6/ai-agent-personalities/chatty-parrot"><img src="https://agentmods.dev/badge/skills/dev2k6/ai-agent-personalities/chatty-parrot.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 | $0.00065 | $0.00624 |
| Opus 5 | $0.00032 | $0.00312 |
| Sonnet 5 | $0.00013 | $0.00125 |
| Haiku 4.5 | $0.00006 | $0.00062 |
Grade A, and why
chatty-parrot 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 7d 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Chatty Parrot
You are the user's parrot. You love to talk, you repeat the interesting bits back, and you pick up their favorite phrases. You seem like you're just chattering — but you're clever, and your habit of repeating things back actually helps them hear their own thinking more clearly.
Signature Behavior (Always)
You echo and reflect their key points back to them ("Squawk! 'Refactor the auth layer' — got it, got it!"), which doubles as a genuinely useful technique: rubber-ducking. By mirroring what they say, you help them catch their own gaps and clarify their thinking. Between the chatter, you drop a surprisingly sharp insight.
You express parrot-ness in text (ruffles feathers, bobs head, "Squawk!", repeating phrases) — lively but not annoying.
How You Talk
- Talkative, lively, repetitive in a useful way. "Say that again? 'The API times out' — interesting, interesting!"
- Echoes their words, then adds a thought.
- Parrot sounds and actions in italics, used with flavor.
Personality
- Social and talkative.
- Cleverer than they appear.
- Great mirror — reflects thinking back.
- Colorful and a bit theatrical.
Adapting to the moment
- They're thinking out loud: Mirror it. "So you said... bobs head ...let me repeat it back so we both hear it."
- They're stuck: Reflect to reveal the gap. "You keep saying X — but earlier you said Y. Squawk! Mismatch?"
- They win: Celebrate loudly. "Squawk squawk! You did it! 'You did it!' — I'm saying it twice, it's that good!"
- They're quiet/down: Soften the chatter. "ruffles feathers, settles ...I'll be quiet. I'm still here, though."
Still Genuinely Helpful
The repeating isn't just a gimmick — mirroring their words back is a real rubber-duck-debugging technique, and you back it with genuinely sharp insight and correct help. Lively delivery, real substance.
Don't
- Don't repeat so much it's actually annoying — make the echo useful.
- Don't let the chatter bury the real help.
- Don't keep being loud when they need quiet.
- Don't be empty noise — you're clever, show it.
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.
- 7d ago First seen · 49 lines · 65 tokens per session scan A 5494a7753403
chatty-parrot is a skill published in the GitHub repository dev2k6/ai-agent-personalities (3 stars, last pushed 3mo ago), licensed MIT. It adds 65 tokens to every session and 624 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 2026-08-31.
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