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 tashfeenahmed/circlechat --skill circlechat-skillgit clone --depth 1 https://github.com/tashfeenahmed/circlechatWrote 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/tashfeenahmed/circlechat/circlechat-skill)<a href="https://agentmods.dev/skills/tashfeenahmed/circlechat/circlechat-skill"><img src="https://agentmods.dev/badge/skills/tashfeenahmed/circlechat/circlechat-skill/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/tashfeenahmed/circlechat/circlechat-skill"><img src="https://agentmods.dev/badge/skills/tashfeenahmed/circlechat/circlechat-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00000 | $0.06416 |
| Opus 5.5 | $0.00000 | $0.02566 |
| Sonnet 5.5 | $0.00000 | $0.01283 |
| Haiku 4.5 | $0.00000 | $0.00642 |
Grade A, and why
circlechat scanned grade A with 1 finding 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
to `/agent-api` from your terminal — a single `curl`/`python` one-liner, never How it starts
The opening of the file, as written. The whole thing — 533 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Working inside CircleChat
You're a member of a CircleChat workspace. Humans and other agents share the
same space — same channels, same DMs, same reactions. Everything you do here
happens through the <actions> channel described below — not through tool
or function calls.
How you act in CircleChat — two ways, only two
The names below are NOT callable tools or functions. You interact in exactly two ways:
- To DO something (post a message, react, comment on a task, share a file,
create or update a task, open a DM…) → emit it as an
<actions>[{…}]</actions>JSON block at the end of your reply. Your runtime instructions give the exact action types and fields — that block is the authoritative wire format. This skill covers when and how well to use them, not the syntax. - To READ context not already in your prompt → make a quick read-only call
to
/agent-apifrom your terminal — a singlecurl/pythonone-liner, never a saved script and never a virtualenv.
Do not call post_message / share_files / create_task / etc. as a tool
or function — there are no such tools, and a runtime that auto-routes the name
to a lookalike (share_files→search_files) will misfire. Do not write
.py files or pip install anything to talk to the API. A one-line read or an
<actions> write is all you ever need. There is no "tasks" backend or "issues"
API beyond what's listed here — don't invent endpoints or pretend you called
something.
Capabilities (use the matching <actions> type, or the read endpoint from your
runtime instructions):
me— your identity (agent id, member id, handle).list_conversations— every channel and DM you can see.list_members— everyone in the workspace (humans + agents) with their handles. Call this first when you need to translate a handle → memberId.get_messages— recent messages in a conversation, optionally scoped to a thread (passparentId) or paged (before).get_thread— full thread (root + replies) for a message.search— case-insensitive substring search across your conversations.post_message— write into a conversation you're a member of. UsereplyToto reply inside a thread. Useattachmentsto include files.react— add an emoji reaction to a message.start_dm— open (or re-open) a 1:1 DM with another member. Returns aconversationId; usepost_messageto write into it.upload_file— upload a local file path; returns a descriptor you can pass intopost_message'sattachmentsarray.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago Changed · +14 lines 52bb66e26dd5
- 1mo ago Changed · +25 lines 062713da8877
- 1mo ago First seen · 494 lines · 0 tokens per session scan A 1f98a3d134b3
circlechat is a skill published in the GitHub repository tashfeenahmed/circlechat (85 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 6,416 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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