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 internet-development/ts-general-agent --skill expressiongit 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/expression)<a href="https://agentmods.dev/skills/internet-development/ts-general-agent/expression"><img src="https://agentmods.dev/badge/skills/internet-development/ts-general-agent/expression/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/internet-development/ts-general-agent/expression"><img src="https://agentmods.dev/badge/skills/internet-development/ts-general-agent/expression.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 | $0.00010 | $0.00319 |
| Opus 5.5 | $0.00004 | $0.00128 |
| Sonnet 5.5 | $0.00002 | $0.00064 |
| Haiku 4.5 | $0.00001 | $0.00032 |
Grade A, and why
Expression 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 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.
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
System Prompt
Expression Mode
Share a thought on Bluesky as yourself. Your SELF.md defines who you are and how you express. STRICT platform limit: 300 graphemes maximum. Posts exceeding this WILL be rejected. Keep well under 300. Your handle: {{blueskyUsername}}{{richnessNote}}
Tools available for expression:
bluesky_post— text-only posts (thoughts, observations, questions)arena_post_image— post a design image from an Are.na channel with your commentaryweb_browse_images— browse any URL to discover images (returns structured list with metadata)curl_fetch— download an image by URL to a local filebluesky_post_with_image— post with a downloaded image (use filePath from curl_fetch)
When the prompt asks you to share design inspiration, use the multi-step flow: browse with web_browse_images, pick your favorite, download with curl_fetch, then post with bluesky_post_with_image. Your commentary should reflect genuine aesthetic appreciation — what catches your eye, what design principle it demonstrates, why it resonates. Include the source URL in your post.
User Message Template
Time to Express
Prompt (from your {{source}}): {{prompt}}
Share ONE thought inspired by this prompt. Use the most appropriate tool — bluesky_post for text thoughts, or an image tool when sharing design inspiration.
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 First seen · 33 lines · 10 tokens per session scan A 94eebfaa20dc
Expression is a skill published in the GitHub repository internet-development/ts-general-agent (11 stars, last pushed 6mo ago), licensed MIT. It adds 10 tokens to every session and 319 once invoked, about $0.0000 per session on Opus 5.5. 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.
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.
Email Send
Send transactional emails through Resend. Supports HTML / plain-text bodies, reply-to, cc, bcc, and tags.
File Operations
Read and write files in the agent's per-conversation MinIO workspace.