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 commands/taichuy/agentmemory/skillsgit clone --depth 1 https://github.com/taichuy/agentMemoryWhat 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 | $0.00006 | $0.00268 |
| Opus 5 | $0.00003 | $0.00134 |
| Sonnet 5 | $0.00001 | $0.00054 |
| Haiku 4.5 | $0.00001 | $0.00027 |
Grade A, and why
skills 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 2d 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
Use the installed agent-memory skill to initialize agentMemory in the current project.
Resolve the installer from the active tool first:
- Codex:
~/.codex/skills/agent-memory/scripts/install-memory.py - Claude Code:
~/.claude/skills/agent-memory/scripts/install-memory.py - OpenCode:
~/.config/opencode/skills/agent-memory/scripts/install-memory.py - Gemini CLI:
~/.gemini/skills/agent-memory/scripts/install-memory.py
Run the installer against the current project:
python <installer> --dest .
If python is unavailable, try python3 or py. If the user asks for force, overwrite, or repair, add --force.
After installation, infer the user's primary communication language from the conversation and project files. Ask in that language whether to initialize .memory/user-memory.md. If the user confirms, ask one compact group of project-aware initialization questions for role, stack, collaboration style, output preference, verification/git preference, and memory boundaries. Do not write user memory before confirmation.
User arguments: $ARGUMENTS
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.
- 2d ago First seen · 26 lines · 0 tokens per session scan A 73163d3c07cd
skills is a command published in the GitHub repository taichuy/agentMemory (24 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 6 tokens to every session and 268 once invoked, about $0.0000 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 commands, from other repositories
git
Git operations with intelligent commit messages and workflow optimization.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
constitution
Create or update the project constitution from interactive or provided principle inputs.