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 skills add obra/superpowers-skills --skill remembering-conversationsgit clone --depth 1 https://github.com/obra/superpowers-skillsWrote 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/skills/obra/superpowers-skills/remembering-conversations)<a href="https://agentmods.dev/skills/obra/superpowers-skills/remembering-conversations"><img src="https://agentmods.dev/badge/skills/obra/superpowers-skills/remembering-conversations/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/skills/obra/superpowers-skills/remembering-conversations"><img src="https://agentmods.dev/badge/skills/obra/superpowers-skills/remembering-conversations.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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 | $0.00023 | $0.00447 |
| Opus 5 | $0.00012 | $0.00224 |
| Sonnet 5 | $0.00005 | $0.00089 |
| Haiku 4.5 | $0.00002 | $0.00045 |
Grade A, and why
Remembering Conversations 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 10d 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
Remembering Conversations
Search archived conversations using semantic similarity or exact text matching.
Core principle: Search before reinventing.
Announce: "I'm searching previous conversations for [topic]."
Setup: See INDEXING.md
When to Use
Search when:
- Your human partner mentions "we discussed this before"
- Debugging similar issues
- Looking for architectural decisions or patterns
- Before implementing something familiar
Don't search when:
- Info in current conversation
- Question about current codebase (use Grep/Read)
In-Session Use
Always use subagents (50-100x context savings). See skills/using-skills for workflow.
Manual/CLI use: Direct search (below) for humans outside Claude Code sessions.
Direct Search (Manual/CLI)
Tool: ${SUPERPOWERS_SKILLS_ROOT}/skills/collaboration/remembering-conversations/tool/search-conversations
Modes:
search-conversations "query" # Vector similarity (default)
search-conversations --text "exact" # Exact string match
search-conversations --both "query" # Both modes
Flags:
--after YYYY-MM-DD # Filter by date
--before YYYY-MM-DD # Filter by date
--limit N # Max results (default: 10)
--help # Full usage
Examples:
# Semantic search
search-conversations "React Router authentication errors"
# Find git SHA
search-conversations --text "a1b2c3d4"
# Time range
search-conversations --after 2025-09-01 "refactoring"
Returns: project, date, conversation summary, matched exchange, similarity %, file path.
For details: Run search-conversations --help
What ships with it
28 files 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.
- DEPLOYMENT.md 8.8 KB
- INDEXING.md 3.6 KB
- tool/.gitignore 135 B
- tool/hooks/sessionEnd 351 B
- tool/index-conversations 2.2 KB
- tool/install-hook 2.0 KB
- tool/migrate-to-config.sh 3.7 KB runs code
- tool/package-lock.json 94 KB
- tool/package.json 677 B
- tool/prompts/search-agent.md 5.0 KB
- tool/search-conversations 2.4 KB
- tool/src/db.test.ts 3.4 KB runs code
- tool/src/db.ts 3.5 KB runs code
- tool/src/embeddings.ts 1.1 KB runs code
- tool/src/index-cli.ts 3.9 KB runs code
- tool/src/indexer.ts 12 KB runs code
- tool/src/parser.ts 3.2 KB runs code
- tool/src/paths.ts 1.2 KB runs code
- tool/src/search-agent-template.test.ts 3.8 KB runs code
- tool/src/search-cli.ts 718 B runs code
- tool/src/search.ts 4.9 KB runs code
- tool/src/summarizer.ts 5.7 KB runs code
- tool/src/types.ts 320 B runs code
- tool/src/verify.test.ts 11 KB runs code
- tool/src/verify.ts 5.3 KB runs code
- tool/test-deployment.sh 13 KB runs code
- tool/test-install-hook.sh 5.6 KB runs code
- tool/tsconfig.json 291 B
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.
- 10d ago First seen · 70 lines · 23 tokens per session scan A 2863b9a801ce
Remembering Conversations is a skill published in the GitHub repository obra/superpowers-skills (747 stars, last pushed 11mo ago), licensed MIT. It adds 23 tokens to every session and 447 once invoked, about $0.0001 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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