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 GetPercept/percept --skill percept-ambientgit clone --depth 1 https://github.com/GetPercept/perceptWrote 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/getpercept/percept/percept-ambient)<a href="https://agentmods.dev/skills/getpercept/percept/percept-ambient"><img src="https://agentmods.dev/badge/skills/getpercept/percept/percept-ambient.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00467 |
| Opus 5 | $0.00000 | $0.00234 |
| Sonnet 5 | $0.00000 | $0.00093 |
| Haiku 4.5 | $0.00000 | $0.00047 |
Grade A, and why
percept-ambient scanned grade A with 1 finding 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 7d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl localhost:8960/api/search?q=project+deadline&mode=hybrid How it starts
The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
percept-ambient
Ambient intelligence mode — continuous context awareness without explicit commands.
What it does
Runs in the background, building a knowledge graph of conversations, entities, and relationships over time. Your agent passively learns context from ambient speech — who you talk to, what projects are active, what decisions were made — without needing explicit commands.
When to use
- User wants always-on context awareness
- Agent needs background knowledge from daily conversations
- User asks "what do you know about [person/project]?" based on overheard context
Requirements
- percept-listen skill installed and running
- percept-summarize skill installed (for entity extraction)
How it works
- All conversations are continuously captured and summarized
- Entities (people, companies, projects, topics) extracted automatically
- Relationships mapped between entities (works_on, client_of, mentioned_with)
- Context packets assembled on demand for any agent action
- Full-text search (FTS5) + vector search (LanceDB) for retrieval
Context packets
When your agent needs context, Percept assembles a Context Packet:
{
"recent_conversations": [...],
"resolved_entities": [...],
"relationships": [...],
"relevant_history": [...]
}
This gives the agent rich situational awareness without loading entire conversation histories.
Vector search
Semantic search over utterances using NVIDIA NIM embeddings (primary) with all-MiniLM-L6-v2 as offline fallback. Stored in LanceDB (local, zero-infra).
# Search via dashboard (port 8960) or API
curl localhost:8960/api/search?q=project+deadline&mode=hybrid
Privacy controls
- All data stored locally in SQLite + LanceDB
- TTL auto-purge (configurable retention periods)
- No audio stored — only transcripts
- Dashboard → Settings → Privacy for granular controls
Real-time dashboard
Monitor ambient intelligence at http://localhost:8960:
- Live conversation feed
- Entity graph visualization
- Search across all conversations
- Analytics and usage stats
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.
- 7d ago First seen · 70 lines · 0 tokens per session scan A 2676b2c38688
percept-ambient is a skill published in the GitHub repository GetPercept/percept (8 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 467 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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