Manage Tmcra Memory

What it does

When your agent uses it

• A user explicitly asks to remember information
• Recover prior project context
• Continue work across sessions
• Supported agent tools

Example prompts

• “/manage-tmcra-memory”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

1. 1Keep one project scope shared across agents working on that project. Agent names do not belong in the scope.
2. 2Keep each conversation's stable session_id; sessions group provenance inside the project.
3. 3Preserve the real message role: user, assistant, system, or tool.
4. 4Set agent_id only when the producing agent is known. A user message can use target_agent_id; it must not use agent_id.
5. 5Reuse the same message, turn, and idempotency identifiers when retrying the same operation. Generate new identifiers for new records.
6. 6If no default scope is configured and the correct project scope cannot be determined, ask the user instead of guessing.

What it can do on your machine

Read from SKILL.md and the folder at commit 9e7b281. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md (its code samples are json).

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Manage Tmcra Memory loads about 1.6k tokens when it runs, and up to ~2.3k if it reads all its reference files. Until then it costs about 122 tokens; SKILL.md has 793 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~122

When it runs · the whole SKILL.md, loaded when a task matches

~1.6k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~2.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from hashgraph-online/awesome-codex-plugins at commit 9e7b281, republished under its Apache-2.0 licence (© hashgraph-online). 793 words, ~1,618 tokens.

name

manage-tmcra-memory

description

Recall, store, and verify long-term project memory with the TMCRA MCP tools. Use when a user explicitly asks to remember information, recover prior project context, continue work across sessions or supported agent tools, inspect an asynchronous memory write, or retry a pending write. Also use when an MCP host needs the explicit prepare-answer-commit lifecycle. Do not invoke it merely because TMCRA Hooks already supplied automatic context for an ordinary Codex turn.

license

Apache-2.0

{
  "session_id": "stable-host-session-id",
  "scope": "stable-project-scope",
  "messages": [
    {
      "message_id": "stable-user-message-id",
      "role": "user",
      "content": "Use PostgreSQL for the release ledger."
    },
    {
      "message_id": "stable-assistant-message-id",
      "role": "assistant",
      "content": "Recorded the PostgreSQL decision.",
      "agent_id": "known-agent-id"
    }
  ]
}

© hashgraph-online, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in plugins/reshuibuduo/TMCRA-Codex-Memory/skills/manage-tmcra-memory of hashgraph-online/awesome-codex-plugins.

• SKILL.md
• agents/openai.yaml
• references/mcp-tools.md

Open the folder on GitHubat commit 9e7b281