t2a-memory

A skill for installing and using T2A Memory, which stores user-level facts in local memory and passes work between T2A tasks. It includes validation, commit, status, and read steps for that memory workflow.

In plain words
What is it for?
Use it when installing T2A Memory, remembering a fact, resolving a memory handoff, validating a task, committing stored memory, or checking the current memory contents.
Why use it?
It provides a defined process for saving and checking memories without directly editing the memory files. It also explains how to continue when the usual T2A handoff tool is unavailable.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/t2a-protocol/t2a/t2a-memory
Any agent
npx skills add t2a-protocol/T2A --skill t2a-memory
Clone the repo
git clone --depth 1 https://github.com/t2a-protocol/T2A

Made for: Claude Code, Codex.

Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 512 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00035 $0.00512
Opus 5 $0.00017 $0.00256
Sonnet 5 $0.00007 $0.00102
Haiku 4.5 $0.00003 $0.00051

Measured 3d ago against content hash 0b0177c50979, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

t2a-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 3d 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.

integrations/t2a-memory/templates/skills/t2a-memory/SKILL.md · 37 lines

What it actually says

T2A Memory

Instructions

Use this skill when the user asks you to install T2A Memory, remember a fact, or use user-level memory.

  1. Run {{T2A_MEMORY_BIN}} remember --memory-home {{MEMORY_HOME}} --tool-home {{TOOL_HOME}} "<fact>".
  2. Read the emitted t2a.handoff.
  3. Use the generic t2a skill if it is available to resolve the capsule.
  4. Fallback workflow: read task.json, prompt.md, input.json, and output.schema.json; write only output.json.
  5. Before commit, run core T2A validation and T2A Memory validation:
    • {{T2A_BIN}} validate "<task-dir>"
    • {{T2A_MEMORY_BIN}} validate --memory-home {{MEMORY_HOME}} --tool-home {{TOOL_HOME}} "<task-dir>"
  6. If both validations pass, run {{T2A_MEMORY_BIN}} commit --memory-home {{MEMORY_HOME}} --tool-home {{TOOL_HOME}} "<task-dir>".
  7. After commit, verify with {{T2A_MEMORY_BIN}} status --memory-home {{MEMORY_HOME}} and {{T2A_MEMORY_BIN}} read --memory-home {{MEMORY_HOME}}.
  8. Do not rerun {{T2A_MEMORY_BIN}} validate on the same already committed task as the normal close-out check.

Guidelines

  • Do not edit memory.json or MEMORY.md directly.
  • Do not use network access during memory handoff or consolidation.
  • Do not call LLM APIs or install LLM SDKs for this workflow.
  • Do not ask for model, base_url, api_key, provider settings, or vector database configuration.
  • Do not run git commit unless the user separately asks for a git commit.
  • t2a-memory commit commits to local memory files only. It is not git commit.

Examples

  • "Install T2A Memory for yourself and remember that T2A tools should not embed LLM API keys."
  • "Remember this preference in T2A Memory."
  • "Use T2A Memory to store this durable local-memory fact."
Files

What ships with it

1 file 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.

Changes

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.

  1. 3d ago First seen · 37 lines · 35 tokens per session scan A 0b0177c50979

Subscribe to this mod's changes

t2a-memory is a skill published in the GitHub repository t2a-protocol/T2A (48 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 35 tokens to every session and 512 once invoked, about $0.0002 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.

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