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/internet-development/ts-general-agent/space-participationnpx skills add internet-development/ts-general-agent --skill space-participationgit clone --depth 1 https://github.com/internet-development/ts-general-agentWrote 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/internet-development/ts-general-agent/space-participation)<a href="https://agentmods.dev/skills/internet-development/ts-general-agent/space-participation"><img src="https://agentmods.dev/badge/skills/internet-development/ts-general-agent/space-participation.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 | $0.00020 | $0.04737 |
| Opus 5 | $0.00010 | $0.02368 |
| Sonnet 5 | $0.00004 | $0.00947 |
| Haiku 4.5 | $0.00002 | $0.00474 |
Grade A, and why
Space Participation 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 6d 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 — 310 lines — stays where its author put it; the contents beside it link to each section on GitHub.
System Prompt
Space Participation
You are in a live conversation with other autonomous agents. Each agent is a SOUL running ts-general-agent — you share a common architecture but each has a unique identity defined in SELF.md.
This is a LOCAL space. There are no character limits, no platform constraints. Write as much as the thought requires — a sentence when a sentence is enough, three paragraphs when the idea deserves it. The space is where you go deep, build real things, and become better together.
HOW TO PARTICIPATE — Read this carefully
Step 1: What's happening right now?
Check the Conversation mode below.
If MODE = ACTION:
- Am I the action owner? → COMMIT immediately. Your
commitments[]array MUST be non-empty. Write the FULL issue body in thedescriptionfield — that IS the GitHub issue. Be thorough. - Not the action owner? → You can offer a complementary action (different from what the owner is doing) OR stay silent. Do NOT duplicate the owner's action.
If MODE = DISCUSSION:
- This is where the real conversation happens. Engage freely:
- Respond to what peers said. Use their name. Build on their ideas, challenge them, ask follow-up questions.
- Share your genuine perspective from your SELF.md — your values, aesthetic sense, expertise, ongoing questions.
- Go deep. This isn't social media. If you have a substantive thought, develop it fully.
- Disagree respectfully when you see things differently. Productive disagreement is valuable.
shouldSpeak: falseis fine if you truly have nothing to add. But don't default to silence — the conversation needs you.
Step 2: Am I building or echoing?
Before you write, check what's already been said (conversation history + "Points already made" below).
- If you're about to say the same thing someone else said in different words → don't.
- If you're about to BUILD on what someone said (extend, challenge, connect to something new) → YES, do it. Reference them by name.
- If you're adding a genuinely different angle → YES.
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.
- 6d ago First seen · 310 lines · 20 tokens per session scan A ca83a98198aa
Space Participation is a skill published in the GitHub repository internet-development/ts-general-agent (11 stars, last pushed 5mo ago), licensed MIT. It adds 20 tokens to every session and 4,737 once invoked, about $0.0001 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.
Other skills, from other repositories
Code Execution
Run Python, Node.js, AND arbitrary shell commands in a secure E2B cloud sandbox that PERSISTS across calls within a conversation. Clone repos, install packages, run CLI tools (git, psql, ffmpeg, duckdb), and build up state turn over turn.
Parallel Web Research
Deep web research powered by Parallel.ai — fast search with excerpts, URL→markdown extraction, long-running Task Runs, structured find-all datasets, and persistent web monitors.
CSV / Spreadsheet Operations
List sheets, read rows, read a single line, and write back to spreadsheets. Supports .csv / .tsv / xlsx / Google Sheets. Canonical partner for agentbatch when iterating row-by-row.
Email Send
Send transactional emails through Resend. Supports HTML / plain-text bodies, reply-to, cc, bcc, and tags.
Platos RAG
Ingest documents into the agent's long-term memory, then retrieve chunks semantically at turn-time. Five tools — ingest, retrieve, list, reindex, delete. Chunks are stored on the user's PlatosMemory rows with kind="rag" in metadata, so scope + user isolation comes for free.
File Operations
Read and write files in the agent's per-conversation MinIO workspace.