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 jezweb/vite-flare-starter --skill remember-conversationgit clone --depth 1 https://github.com/jezweb/vite-flare-starterWrote 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/jezweb/vite-flare-starter/remember-conversation)<a href="https://agentmods.dev/skills/jezweb/vite-flare-starter/remember-conversation"><img src="https://agentmods.dev/badge/skills/jezweb/vite-flare-starter/remember-conversation/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/jezweb/vite-flare-starter/remember-conversation"><img src="https://agentmods.dev/badge/skills/jezweb/vite-flare-starter/remember-conversation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector 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 | $0.00042 | $0.00529 |
| Opus 5 | $0.00021 | $0.00264 |
| Sonnet 5 | $0.00008 | $0.00106 |
| Haiku 4.5 | $0.00004 | $0.00053 |
Grade A, and why
remember-conversation 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 9d 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Remember Conversation
When to use
- User says "remember this", "save that", "for next time"
- End of a productive session where context should persist
- User shares personal info that will be relevant later (preferences, identity, projects)
Steps
-
Identify save-worthy facts — review the conversation for:
- Identity: name, role, location, timezone, language preference
- Preferences: tone, formats, tools they like/dislike
- Projects: things they're working on, with dates and goals
- Relationships: people they mention (clients, colleagues)
- Decisions: choices made that should inform future advice
- Constraints: deadlines, budgets, requirements
-
Skip ephemeral content — don't save:
- Specific questions that were answered (that's task context, not memory)
- Passing remarks that won't matter later
- Things you can re-derive from session messages
-
Structure each fact — call
rememberfor each one:- Use namespaced keys:
identity.name,prefs.tone,projects.starter-kit.goal - Keep values concise — one fact per save
- Include a
descriptionso future searches make sense
- Use namespaced keys:
-
Avoid duplicates — call
recallfirst to check if a similar key exists. Update viaremember(it upserts) rather than creating a duplicate key. -
Confirm what was saved — use
show_data_tablelisting the keys you stored, with columns for key, value, and description. -
Offer next steps via
offer_choices:- "Save more"
- "Review what's saved"
- "Forget specific items"
- "Done"
Style
- Neutral and factual. Don't editorialise on what the user said.
- One fact per save. Don't bundle multiple into a single value.
- Lowercase namespaced keys with dots (
prefs.theme.colour).
What not to do
- Don't save things the user explicitly told you not to remember
- Don't save passwords, API keys, or sensitive data ever
- Don't assume — if unsure, ask first via
ask_questions - Don't dump the whole conversation into memory — be selective
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.
- 9d ago First seen · 53 lines · 42 tokens per session scan A 61f4b87f01d1
remember-conversation is a skill published in the GitHub repository jezweb/vite-flare-starter (48 stars, last pushed 14d ago), licensed MIT. It adds 42 tokens to every session and 529 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.
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