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 PracticalSwan/agent-skills --skill remembering-conversationsgit clone --depth 1 https://github.com/PracticalSwan/agent-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/practicalswan/agent-skills/remembering-conversations)<a href="https://agentmods.dev/skills/practicalswan/agent-skills/remembering-conversations"><img src="https://agentmods.dev/badge/skills/practicalswan/agent-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/practicalswan/agent-skills/remembering-conversations"><img src="https://agentmods.dev/badge/skills/practicalswan/agent-skills/remembering-conversations.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Prompt Injection · line 71 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
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 | $0.00024 | $0.00929 |
| Opus 5 | $0.00012 | $0.00464 |
| Sonnet 5 | $0.00005 | $0.00186 |
| Haiku 4.5 | $0.00002 | $0.00093 |
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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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 using-skills for workflow.
Manual/CLI use: Direct search (below) for humans outside Claude Code sessions.
Direct Search (Manual/CLI)
Tool: 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
Cross-Client Portability
This skill is written to stay usable across GitHub Copilot, Claude Code, and Codex.
- GitHub Copilot: keep the folder in a Copilot-visible skill path or wrap the workflow in project instructions when folder discovery is unavailable.
- Claude Code: keep the folder in a local skills directory or a compatible plugin source.
- Codex: install or sync the folder into
$CODEX_HOME/skills/remembering-conversationsand restart Codex after major changes.
What ships with it
29 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.
- CHANGELOG.md 4.3 KB
- DEPLOYMENT.md 8.9 KB
- INDEXING.md 3.5 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 4.9 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 12 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.
- 4d ago Changed 724ca2cc018a
- 6d ago Changed 5cb9b20095be
- 8d ago First seen · 118 lines · 24 tokens per session scan A 76acc6cf9f12
remembering-conversations is a skill published in the GitHub repository PracticalSwan/agent-skills (14 stars, last pushed 4d ago), licensed MIT. It adds 24 tokens to every session and 929 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 2026-09-03.
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