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 viknesh20-20/claude-code-tool-kit --skill memorygit clone --depth 1 https://github.com/viknesh20-20/claude-code-tool-kitWrote 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/viknesh20-20/claude-code-tool-kit/memory)<a href="https://agentmods.dev/skills/viknesh20-20/claude-code-tool-kit/memory"><img src="https://agentmods.dev/badge/skills/viknesh20-20/claude-code-tool-kit/memory/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/viknesh20-20/claude-code-tool-kit/memory"><img src="https://agentmods.dev/badge/skills/viknesh20-20/claude-code-tool-kit/memory.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 | $0.00046 | $0.00815 |
| Opus 5.5 | $0.00018 | $0.00326 |
| Sonnet 5.5 | $0.00009 | $0.00163 |
| Haiku 4.5 | $0.00005 | $0.00081 |
Grade A, and why
memory 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.
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/memory
Operate on .claude/memory/. Memory persists across sessions and is shared across all 12 toolkit agents.
Subcommands
list (default)
Print the current memory index, grouped by type. One line per entry: name, description, last-verified date.
## Project (4)
- monorepo-layout — apps/, packages/, infra/. Yarn workspaces. (2026-04-18)
- billing-flag-state — webhook still off in prod, on in staging. (2026-05-01)
- migration-plan-q3 — auth migration to Lucia, target 2026-07-01. (2026-04-30)
…
## User (2)
- role — senior eng, owns the platform team. (2026-04-15)
- preferences — terse responses; no emojis; vitest over jest. (2026-04-15)
## Feedback (1)
- no-mocks-in-integration — integration tests must hit real DB. (2026-04-22)
## Reference (1)
- linear-eng-board — pipeline bugs tracked in Linear project ENG. (2026-04-15)
## Inherited (0)
## Handoffs (3)
- 2026-05-01 — auth migration shipped; billing flag pending.
- 2026-04-30 — design system v2 RFC opened.
- 2026-04-29 — initial repo onboarding.
search <query>
Find memories whose name, description, or body matches the query. Use to remind yourself of context before answering a related question.
save
Walk through writing a new memory:
- Ask which type: project / user / feedback / reference.
- Ask for the title (slug becomes the filename).
- Ask for the description (one line — used for relevance scoring later).
- Ask for the body. For
project/andfeedback/, prompt for Why: and How to apply: explicitly. - Show the file you're about to write. Get confirmation.
- Write the file.
- Update
.claude/memory/MEMORY.mdindex.
Frontmatter:
---
name: <title>
type: project | user | feedback | reference
description: <one-line>
created: 2026-05-02
last-verified: 2026-05-02
---
<body>
update <name>
Find the memory by name. Show its current contents. Ask what to change. Update the file and bump last-verified.
delete <name>
Find the memory. Show what would be deleted. Ask for confirmation. Delete the file and remove the line from MEMORY.md.
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 · 94 lines · 46 tokens per session scan A 33a34fa7d3b8
memory is a skill published in the GitHub repository viknesh20-20/claude-code-tool-kit (7 stars, last pushed 5mo ago), licensed MIT. It adds 46 tokens to every session and 815 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 2026-08-31.
Other skills, from other repositories
wiki-ingest
Use when an operation issue asks to ingest a captured raw/ source into the LLM Wiki, or the user says "ingest ". Create durable source, entity, concept, synthesis, index, and log pages; use paperclip-distill for Paperclip bundles.
wiki-lint
Use when an LLM Wiki operation issue is a lint or health check. Audit for contradictions, orphans, weak provenance, broken links, missing concept pages, and index/log drift; return triage findings without auto-fixing.
para-memory-files
Use a file-based PARA memory system to store, retrieve, and organize durable knowledge across sessions. Trigger on saving facts, daily notes, entity records, weekly synthesis, recall, tacit user patterns, or plan memory.
handoff
Write a compact, decision-ready handoff so the next session (or the user) can continue without reconstructing the current one. Use when the session is ending, context is running low, the user asks for a handoff / 'pass the baton' / 'hand off', or a long-running operation needs a durable state checkpoint.
forget
Help the user remove a stored fact using Codewhale's Context Lens when they ask to forget or delete a memory.
claude-compaction-restore
Use when a Claude Code session is about to compact, has just compacted, reached its context limit, resumed after /compact, or must rebuild its working picture of a long-running seat from its own restore map, its JSONL transcript and the files it touched.