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-proceduresgit 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-procedures)<a href="https://agentmods.dev/skills/scottrbk/forgetful/forgetful-procedures"><img src="https://agentmods.dev/badge/skills/scottrbk/forgetful/forgetful-procedures.svg" alt="Measured on agentmods" 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 | $0.00076 | $0.00823 |
| Opus 5 | $0.00038 | $0.00411 |
| Sonnet 5 | $0.00015 | $0.00165 |
| Haiku 4.5 | $0.00008 | $0.00082 |
Grade A, and why
forgetful-procedures 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 8d 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Storing and finding procedures
Forgetful's skill store is procedural memory: how-tos that agents retrieve by capability and follow. All skill operations run through the standard invocation surface below, the same as every other domain.
Invoking operations
Operations are named by registry name (search_skills, create_skill, ...). Invoke via
whichever surface this agent has:
- MCP:
execute_forgetful_tool(tool_name="search_skills", arguments={...}) - CLI:
forgetful call search_skills --args '{"query": "..."}' --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 — Apply the litmus
"How to review pull requests in this project" is a skill; "we use conventional commits" is
a memory (forgetful-remember). A procedure has steps someone follows in order; a fact is
recalled and applied.
Done when: the content is confirmed procedural.
Step 2 — Search before create
search_skills for the capability first — search is semantic over skill descriptions, so
query by what the procedure achieves ("deploy the API", "rotate credentials"), not its
exact name. An existing skill that covers it gets updated (update_skill) rather than
duplicated; names are unique.
Done when: create vs update is an informed decision.
Step 3 — Create with the description carrying the weight
The description is the only embedded field — content (up to 100KB) is stored but never
searched semantically. Write the description as the retrieval surface: what the procedure
achieves, when to reach for it, capability keywords. Then create_skill with kebab-case
name, the full markdown procedure as content, tags, and importance.
Done when: the skill exists and a capability-phrased search_skills finds it.
Step 4 — Import / export SKILL.md
import_skill ingests a SKILL.md string: YAML frontmatter needs name and description;
license, compatibility, tags, metadata, and allowed-tools (hyphenated on disk,
mapped to allowed_tools internally) are honoured. The body after the frontmatter becomes
the content. export_skill re-emits the SKILL.md, round-trip faithful — tags included.
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.
- 8d ago First seen · 79 lines · 76 tokens per session scan A a0badd013995
forgetful-procedures is a skill published in the GitHub repository ScottRBK/forgetful (298 stars, last pushed 6d ago), licensed MIT. It adds 76 tokens to every session and 823 once invoked, about $0.0004 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
cloud-sync
Set up or check claude-mem cloud sync with cmem.ai Pro. Use when the user says "set up cloud sync", "sync my memories", "cmem pro", "cloud backup", "sync status", or wants their memory database backed up or synced to their cmem.ai account.
comet-memory
A review step for deciding whether information should become durable personal memory. It can keep, update, forget, or skip memory candidates based on bounded evidence.
relevance-coarse-filter
Cheap, high-recall first-pass filter that removes obvious junk from a detector candidate pool before expensive story-origin research and PR judgment. Decides keep, monitoronly, or reject — never ranks, writes angles, verifies dates, or decides whether to pitch.
memory-audit-pattern-extraction
A method for investigating repeated mistakes by comparing related memories and checking whether an earlier reminder failed. It looks at where the reminder was stored, when it was created, and whether it was strong enough to prevent the mistake.
usage-audit
Audit a Claude Code setup for token waste and context bloat. Checks MCP servers, CLAUDE.md, skills, and settings against bloat filters. Triggers on: "audit my context", "usage audit", "token audit", "context bloat". NOT for codebase audits.
init
Install or update OwnMem in the current repository. Use when the user asks to set up OwnMem, add local project memory for coding agents, or refresh an existing OwnMem installation after a version bump.