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 ScottRBK/forgetful --skill forgetful-filesgit clone --depth 1 https://github.com/ScottRBK/forgetfulWrote 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/scottrbk/forgetful/forgetful-files)<a href="https://agentmods.dev/skills/scottrbk/forgetful/forgetful-files"><img src="https://agentmods.dev/badge/skills/scottrbk/forgetful/forgetful-files/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/scottrbk/forgetful/forgetful-files"><img src="https://agentmods.dev/badge/skills/scottrbk/forgetful/forgetful-files.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 | $0.00063 | $0.00592 |
| Opus 5.5 | $0.00025 | $0.00237 |
| Sonnet 5.5 | $0.00013 | $0.00118 |
| Haiku 4.5 | $0.00006 | $0.00059 |
Grade A, and why
forgetful-files 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
Filing binary content
Files carry what text cannot: the screenshot that shows the bug, the architecture diagram, the PDF spec, the font a design system needs. Mechanics are thin; the judgment is in the description and the attachment.
File operations are feature-flagged — when discovery doesn't list them, the server has
FILES_ENABLED off.
Invoking operations
Operations are named by registry name (create_file, list_files, ...). Invoke via
whichever surface this agent has:
- MCP:
execute_forgetful_tool(tool_name="create_file", arguments={...}) - CLI:
forgetful call create_file --args '{"filename": "..."}' --json
Get any operation's schema at runtime: how_to_use_forgetful_tool (MCP) or
forgetful tools info <operation> (CLI) — schemas are deliberately not repeated here.
Step 1 — Store with a retrieval-grade description
create_file takes the content base64-encoded, with filename, mime_type, tags, and a
description. The description is what future retrieval sees — write what the file shows and
when someone would reach for it ("Auth service architecture diagram — component boundaries
and token flow, current as of the v2 redesign"), never just restating the filename.
Done when: the file is stored and its description answers "what is this and when is it used" on its own.
Step 2 — Attach it
A file no path leads to is lost the moment this session ends. Two attachment routes exist:
project_id(at create, or later viaupdate_file) puts the file in a project's world.link_skill_to_filebundles it to a stored procedure as its asset (seeforgetful-procedures).
For knowledge that discusses the file, save a memory (forgetful-remember) that cites
the file ID in its content, so recall surfaces the pointer.
Done when: at least one route reaches the file — its project, a linked procedure, or a citing memory.
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 · 60 lines · 63 tokens per session scan A ce52d7d9ce4b
forgetful-files is a skill published in the GitHub repository ScottRBK/forgetful (340 stars, last pushed yesterday), licensed MIT. It adds 63 tokens to every session and 592 once invoked, about $0.0003 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
ingest
Ingest a file or URL into the memory graph. Handles local files (text, PDF, DOCX, XLSX, images, etc.) and URLs (web pages, YouTube, Wikipedia, RSS). Use when the user wants to add any document or web content to their knowledge graph.
wowerpoint
Turn one document into a kawaii NotebookLM slide deck. Use for "wowerpoint this", "make a deck about ", "turn this report into slides", or any request to render a single document as shareable narrative slides.
ocr-document
Extract text from PDFs, images, and scanned documents. Uses pymupdf (local) or optional cloud OCR APIs.
Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as reportlab, pdfplumber, and pypdf for generation and extraction.
llm-wiki
Build and maintain a persistent knowledge base (LLM Wiki) using native backend tools. Supports ingesting PDFs, Markdown, and TXT files, and querying or linting the data. Use this whenever the user wants to add, retrieve, or manage their own local knowledge base and documents.
deck-ai
Generate modern presentation decks (PDF) from markdown content. Local open-source alternative to Gamma — uses Slidev for layouts and Unsplash for imagery. Invoke when the user asks to "make a deck", "build slides from this", or "turn this into a presentation".