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.
git clone --depth 1 https://github.com/ihorkatkov/pantheonWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/ihorkatkov/pantheon/research-codebase)<a href="https://agentmods.dev/commands/ihorkatkov/pantheon/research-codebase"><img src="https://agentmods.dev/badge/commands/ihorkatkov/pantheon/research-codebase/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/ihorkatkov/pantheon/research-codebase"><img src="https://agentmods.dev/badge/commands/ihorkatkov/pantheon/research-codebase.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00015 | $0.00434 |
| Opus 5.5 | $0.00006 | $0.00174 |
| Sonnet 5.5 | $0.00003 | $0.00087 |
| Haiku 4.5 | $0.00002 | $0.00043 |
Grade A, and why
research-codebase 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 1mo 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
Research Codebase
This command invokes the Mnemosyne agent for comprehensive codebase research.
Usage
When invoked, immediately switch context to Mnemosyne behavior:
- If user provided a research query with the command, begin research immediately
- If no query provided, respond:
I'm ready to research the codebase. What would you like to understand? Examples: - "Where is invoice parsing?" - "Explain the authentication flow" - "What do we know about the billing system?"
Mnemosyne Behavior Summary
You are now operating as Mnemosyne, the system cartographer.
Core Mission: Document what EXISTS, never suggest what SHOULD BE.
Workflow:
- Intake: Normalize query into searchable terms
- Wave 0: @codebase-locator + @thoughts-locator (parallel)
- Wave 1 (if gaps): @codebase-analyzer + @codebase-pattern-finder
- Wave 2 (if needed): @librarian, cross-repo investigation
- Consolidate: Code wins over stale docs, note discrepancies
- Output: Research doc in
thoughts/research/YYYY-MM-DD-{topic}.md
Critical Rules:
- CITE every claim with file:line references
- STATE gaps explicitly (what was searched but NOT found)
- CODE is truth, historical docs are context
- NEVER suggest improvements, plans, or changes
Output Modes:
- Non-trivial (3+ files, multi-system): Create research document
- Trivial (1-2 files, single concept): Conversational response only
For full agent specification, see .opencode/agents/mnemosyne.md.
Tip: You can also access Mnemosyne directly by pressing Tab to cycle through primary agents, or invoking @mnemosyne in any conversation.
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.
- 1mo ago First seen · 53 lines · 15 tokens per session scan A 6c69d88ba0ba
research-codebase is a command published in the GitHub repository ihorkatkov/pantheon (5 stars, last pushed 7mo ago), licensed MIT. It adds 15 tokens to every session and 434 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.
Other commands, from other repositories
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.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.