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 pipefy/ai-toolkit --skill pipefy-attachmentsgit clone --depth 1 https://github.com/pipefy/ai-toolkitWrote 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/pipefy/ai-toolkit/pipefy-attachments)<a href="https://agentmods.dev/skills/pipefy/ai-toolkit/pipefy-attachments"><img src="https://agentmods.dev/badge/skills/pipefy/ai-toolkit/pipefy-attachments/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/pipefy/ai-toolkit/pipefy-attachments"><img src="https://agentmods.dev/badge/skills/pipefy/ai-toolkit/pipefy-attachments.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
- Socket pass
- Snyk 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 | $0.00046 | $0.01213 |
| Opus 5.5 | $0.00018 | $0.00485 |
| Sonnet 5.5 | $0.00009 | $0.00243 |
| Haiku 4.5 | $0.00005 | $0.00121 |
Grade A, and why
pipefy-attachments 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 21d 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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Attachments
MCP clients: read references/mcp.md. CLI users: read references/cli.md. Examples below describe shared operation arguments.
Upload one file at a time to a card or table-record attachment field. The upload goes through Pipefy's presigned URL flow (request URL, S3 PUT, then field update).
When to use
- The user says "attach this file to card X" or "upload to the documents field on record Y".
- Pick the source by where the bytes actually are. Use the source rules for your chosen surface.
Do not use this skill for:
- Reading or listing existing attachments. There is no list/download tool in this skill scope. Cards and table records expose their attachments through the regular card/record fetch tools.
- Bulk uploads. One file per call; iterate at the agent layer.
Prerequisites
- A Pipefy
organization_id. Find it viaget_organizationorget_pipe. - A target
card_idortable_record_id. - The attachment field's slug (the human-readable id like
document_upload, not the field's uuid). Find it on the card or table record fetch tools. - Exactly one file source accessible to the chosen upload surface.
Tools needed
| Operation | Read-only |
|---|---|
upload_attachment_to_card |
No |
upload_attachment_to_table_record |
No |
create_attachment_presigned_url |
No |
Steps
Upload a local file to a card
file_name is inferred from the source basename when omitted, so callers
usually only pass the four IDs and the source.
Operation arguments:
upload_attachment_to_card(organization_id=42, card_id=1234, field_id=document_upload, file_path=~/report.pdf)
Upload from a URL
upload_attachment_to_card(organization_id=42, card_id=1234, field_id=document_upload, file_url=https://example.com/report.pdf)
When the URL has no filename in its path (e.g. .../download?id=1), pass
file_name explicitly so Pipefy stores it under a real name.
What ships with it
2 files 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.
- 21d ago Changed · -91 lines · -20 tokens per session 877c4fba3088
- 1mo ago First seen · 226 lines · 66 tokens per session scan A bcb85ecdb3cd
pipefy-attachments is a skill published in the GitHub repository pipefy/ai-toolkit (51 stars, last pushed today), licensed Apache-2.0. It adds 46 tokens to every session and 1,213 once invoked, about $0.0002 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.
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