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 agentmods add skills/appcuarium/synapptic/skillnpx skills add appcuarium/synapptic --skill skillgit clone --depth 1 https://github.com/appcuarium/synappticWhat 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 | $0.00161 | $0.01300 |
| Opus 5 | $0.00081 | $0.00650 |
| Sonnet 5 | $0.00032 | $0.00260 |
| Haiku 4.5 | $0.00016 | $0.00130 |
Grade A, and why
synapptic 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 2d 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
synapptic
The missing feedback loop for agentic development. Builds a living user model from AI coding session transcripts — extracts who the user is, what the AI keeps getting wrong, and what rules would prevent those mistakes. Writes the result to the memory system so every new session starts informed.
Commands
Full pipeline (most common)
synapptic ingest # extract → merge → synthesize → integrate
Finds unprocessed transcripts, filters them (~626x compression), extracts observations via LLM, merges into weighted profiles, synthesizes narrative archetypes, and writes to all project memory directories.
Options: --model sonnet (default), --max-tokens 50000, --project <name>, --min-lines 20.
Step-by-step
synapptic extract --all # extract all unprocessed sessions
synapptic extract -s <UUID> # extract one session
synapptic merge # merge observations into profiles
synapptic synthesize # generate narrative archetypes
synapptic profile # show weighted preferences
synapptic profile -p <project> # show project-specific profile
synapptic archetype # show narrative archetypes
synapptic stats # session counts, profile versions, per-project breakdown
synapptic diff # changes since last profile version
synapptic rollback # restore previous profile version
synapptic reset # delete all state and start fresh
synapptic install # set up skill + hook + settings.json
synapptic uninstall # clean removal, prompts before deleting data
Architecture
Two-level profiles: global + per-project
~/.synapptic/
├── global/ # who you are (same across all projects)
│ ├── observations/
│ ├── profile.yaml
│ └── archetype.md
├── projects/
│ ├── <project-slug>/ # what goes wrong in this project
│ │ ├── observations/
│ │ ├── profile.yaml
│ │ └── archetype.md
│ └── ...
└── profile_history/ # versioned snapshots for rollback
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.
- 2d ago First seen · 116 lines · 161 tokens per session scan A b0e395ae70cb
synapptic is a skill published in the GitHub repository appcuarium/synapptic (23 stars, last pushed 5mo ago), licensed MIT. It adds 161 tokens to every session and 1,300 once invoked, about $0.0008 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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