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/mem0ai/mem0/mem0-pinnpx skills add mem0ai/mem0 --skill mem0-pingit clone --depth 1 https://github.com/mem0ai/mem0What 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 | $0.00044 | $0.00621 |
| Opus 5 | $0.00022 | $0.00311 |
| Sonnet 5 | $0.00009 | $0.00124 |
| Haiku 4.5 | $0.00004 | $0.00062 |
Grade A, and why
mem0-pin 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 yesterday.
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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mem0 Pin
Pin a memory to mark it as high-priority and protect from pruning.
Execution
Step 1: Find the memory
The user provides either a search query or memory ID.
If memory ID:
- Call
get_memorywith the ID.
If search query:
- Call
search_memorieswith the query,filters={"AND": [{"user_id": "<id>"}, {"app_id": "<pid>"}]},top_k=5. - Show numbered list with content previews.
- Ask: "Which memory to pin? Enter a number."
Step 2: Read current content
Call get_memory with the selected memory ID. Store:
original_text— the memory's text contentoriginal_metadata— the existingmetadatadict
Step 3: Pin it
The update_memory tool updates a memory by id. To pin durably, append a pin
marker to the text so it travels with the memory:
pinned_text = "[PINNED] " + original_text if not original_text.startswith("[PINNED]") else original_text
update_memory(id=<selected_id>, text=pinned_text)
For new memories (user wants to pin text that isn't stored yet):
- Call
add_memorywith:text="[PINNED] <the user's text>"user_id=<active_user_id>app_id=<active_project_id>metadata={"pinned": true, "type": "decision", "confidence": 1.0}infer=False
- The response contains
event_id. Callget_event_status(event_id=<event_id>)once to retrieve the memory ID, then confirm.
Step 4: Confirm
Pinned: "<memory content, first 80 chars>"
Memory ID: <id>
Append ... only if content exceeds 80 characters.
Unpin
If the user says "unpin":
- Call
get_memoryto read current content. - Remove the pin marker from the text:
unpinned_text = original_text.removeprefix("[PINNED] ") update_memory(memory_id=<id>, text=unpinned_text) - Print:
Unpinned: "<content>..."
Output formatting
IMPORTANT: Do NOT use markdown in your output. OpenCode TUI renders text verbatim — markdown like bold, ## headers, and | table | syntax appears as raw characters. Use plain text with indentation for structure. Use dashes for lists. Use spaces to align columns instead of markdown tables.
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.
- yesterday First seen · 72 lines · 44 tokens per session scan A fe581720ce4f
mem0-pin is a skill published in the GitHub repository mem0ai/mem0 (64,360 stars, last pushed 3d ago), licensed Apache-2.0. It adds 44 tokens to every session and 621 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.
Other skills, from other repositories
mcp-apps-builder
MANDATORY for ALL MCP server work - mcp-use framework best practices and patterns. READ THIS FIRST before any MCP server work, including: Creating new MCP servers Modifying existing MCP servers (adding/updating tools, resources, prompts, widgets) Debugging MCP server issues or errors Reviewing MCP server code for…
project-graveyard
Scans the developer's machine for dead side projects, autopsies each one from its git history (died at the payments wall, killed by a newer project, finished but never shipped), surfaces their personal death patterns, and picks the corpse most worth resurrecting — then helps ship it. Use when the user mentions…
commit-archaeologist
Reconstructs why code exists from local git history, including the introducing commit, later changes, current authors, repeated companion files, and likely intent. Use when the user asks "why does this code exist", "who wrote this function and why", or to "explain the history of this function" before a rewrite…
dependency-doctor
Checks requirements.txt, pyproject.toml, and package.json dependency manifests for surface-level direct-dependency footguns: standard-library shadowing pins, abandoned backports, unpinned dependencies, and obvious intra-manifest conflicts, plus opt-in PyPI yanked releases. Use when the user asks to check a manifest…
scope-creep-detector
Analyzes git diffs against a stated intent to detect scope creep, unrelated files, broad pull requests, changes that grew beyond a fix, dependency additions, public API renames, config or CI edits, oversized hunks, and formatting-only files. Use when the user asks whether a change grew beyond the fix, a PR is too…
chatgpt-app-builder
DEPRECATED: This skill has been replaced by mcp-app-builder. Check if mcp-app-builder is available in the skills folder. If not, install it: npx skills install mcp-use/mcp-use --skill mcp-app-builder Use mcp-app-builder instead of this skill. Build ChatGPT apps with interactive widgets using mcp-use and OpenAI Apps…