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 yonatangross/orchestkit --skill memorygit clone --depth 1 https://github.com/yonatangross/orchestkitWrote 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/yonatangross/orchestkit/memory)<a href="https://agentmods.dev/skills/yonatangross/orchestkit/memory"><img src="https://agentmods.dev/badge/skills/yonatangross/orchestkit/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/yonatangross/orchestkit/memory"><img src="https://agentmods.dev/badge/skills/yonatangross/orchestkit/memory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 16 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00077 | $0.01677 |
| Opus 5.5 | $0.00031 | $0.00671 |
| Sonnet 5.5 | $0.00015 | $0.00335 |
| Haiku 4.5 | $0.00008 | $0.00168 |
Grade A, and why
memory scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 21d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Memory - Read & Access Operations
Unified read-side memory skill with subcommands for searching, loading, syncing, history, and visualization.
Cross-session read strategy (Opus 5.5 / CC 2.1.111+): Opus 5.5 reads filesystem memory reliably across sessions. When loading context at session start, prefer the layered read order:
~/.claude/projects/<slug>/memory/MEMORY.md(durable index — load first, always).claude/chain/state.json+ most recentNN-*.jsonhandoff (session continuation)- MCP
mcp__memory__search_nodesfor anything the filesystem index doesn't answer (typed graph traversal)Layer 1 is cheap (small index file), Layer 2 is scoped (session-specific), Layer 3 is selective (only when needed). Avoid dumping the full knowledge graph into context — use the index to narrow the search first.
Argument Resolution
SUBCOMMAND = "$ARGUMENTS[0]" # First token: search, load, history, viz, status
QUERY = "$ARGUMENTS[1]" # Second token onward: search query or flags
# $ARGUMENTS is the full string (CC 2.1.59 indexed access)
Usage
memory search <query> # Search knowledge graph
memory load # Load context at session start
memory history # View decision timeline
memory viz # Visualize knowledge graph
memory status # Show memory system health
CRITICAL: Use AskUserQuestion When No Subcommand
If invoked without a subcommand, ask the user what they want:
AskUserQuestion(
questions=[{
"question": "What memory operation do you need?",
"header": "Operation",
"options": [
{"label": "search", "description": "Search decisions and patterns in knowledge graph"},
{"label": "load", "description": "Load relevant context for this session"},
{"label": "history", "description": "Decision timeline + knowledge-graph viz (--mermaid)"},
{"label": "status", "description": "Check memory system health"}
],
"multiSelect": false
}]
)
What ships with it
13 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.
- references/memory-commands.md 4.2 KB
- references/mermaid-patterns.md 8.7 KB
- references/session-resume-patterns.md 912 B
- rules/_sections.md 344 B
- rules/deduplication-strategy.md 1.8 KB
- rules/entity-extraction-patterns.md 1.9 KB
- scripts/graph-utils.mjs 6.0 KB runs code
- scripts/playground-template.html 57 KB
- scripts/render-graph.mjs 11 KB runs code
- scripts/render-playground.mjs 11 KB runs code
- scripts/staleness_cron.py 5.4 KB runs code
- scripts/staleness_lib.py 6.5 KB runs code
- test-cases.json 2.5 KB
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 c5d1a21a5d46
- 22d ago Changed · -1 lines 0da44f012af2
- 25d ago Changed · +13 tokens per session 59e0cac20677
- 28d ago Changed b99b7ae7e155
- 1mo ago Changed b706f6eff43f
- 1mo ago Changed · -7 lines 6006ae53141c
- 1mo ago Changed e507ec09802d
- 1mo ago Changed 8e87223b2481
- 1mo ago First seen · 178 lines · 64 tokens per session scan A 64bf61e95742
memory is a skill published in the GitHub repository yonatangross/orchestkit (298 stars, last pushed today), licensed MIT. It adds 77 tokens to every session and 1,677 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 2026-09-03.
Other skills, from other repositories
knowledge_store_skill
Skill for working with local .knowledge.yaml files via KnowledgeStore. Use this when you need to recall, search, or manage directory-local memories and knowledge links stored in plain YAML alongside the user's project files. KnowledgeStore is directory-scoped. Each directory that contains a .knowledge.yaml file…
cocoscout
Relevance-ranked context loading — Tier 2 async subagent (Haiku, <5s) that fires after Tier 1 deterministic checks in UserPromptSubmit. Injects ranked context from CocoGrove, CocoContext, Environment Inspector, Prompt Studio, and CocoDream.
pod-checkpoint
Write a structured recovery snapshot to lifecycle/checkpoint.md before context reset — captures phase, stage, decisions, and pending items so $pod resume can restore precise context.
pull-search
CocoPull session archive search — full-text search across past sessions. Handles $pull search " " with --since and --feature filters, and $pull index rebuild.
pod-resume
Reconstruct context for a returning developer. Reads .cocoplus/ state and generates a narrative summary of project status, last achievements, pending tasks, recent decisions, available patterns, CocoCupper insights, and recommended next action.
wisdom-forget
Remove a must-keep CocoWisdom entry with rationale. Usage: $wisdom forget --id --rationale " ".