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 agentmods add skills/t2a-protocol/t2a/t2a-memorynpx skills add t2a-protocol/T2A --skill t2a-memorygit clone --depth 1 https://github.com/t2a-protocol/T2AWhat 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 | $0.00035 | $0.00512 |
| Opus 5 | $0.00017 | $0.00256 |
| Sonnet 5 | $0.00007 | $0.00102 |
| Haiku 4.5 | $0.00003 | $0.00051 |
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.
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.
- Run
{{T2A_MEMORY_BIN}} remember --memory-home {{MEMORY_HOME}} --tool-home {{TOOL_HOME}} "<fact>". - Read the emitted
t2a.handoff. - Use the generic
t2askill if it is available to resolve the capsule. - Fallback workflow: read
task.json,prompt.md,input.json, andoutput.schema.json; write onlyoutput.json. - 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>"
- If both validations pass, run
{{T2A_MEMORY_BIN}} commit --memory-home {{MEMORY_HOME}} --tool-home {{TOOL_HOME}} "<task-dir>". - After commit, verify with
{{T2A_MEMORY_BIN}} status --memory-home {{MEMORY_HOME}}and{{T2A_MEMORY_BIN}} read --memory-home {{MEMORY_HOME}}. - Do not rerun
{{T2A_MEMORY_BIN}} validateon the same already committed task as the normal close-out check.
Guidelines
- Do not edit
memory.jsonorMEMORY.mddirectly. - 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 commitunless the user separately asks for a git commit. t2a-memory commitcommits to local memory files only. It is notgit 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."
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.
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.
- 3d ago First seen · 37 lines · 35 tokens per session scan A 0b0177c50979
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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