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/josephoibrahim/synapse/synapse-featurenpx skills add JosephOIbrahim/Synapse --skill synapse-featuregit clone --depth 1 https://github.com/JosephOIbrahim/SynapseWrote 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/josephoibrahim/synapse/synapse-feature)<a href="https://agentmods.dev/skills/josephoibrahim/synapse/synapse-feature"><img src="https://agentmods.dev/badge/skills/josephoibrahim/synapse/synapse-feature.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 | $0.00000 | $0.00261 |
| Opus 5 | $0.00000 | $0.00130 |
| Sonnet 5 | $0.00000 | $0.00052 |
| Haiku 4.5 | $0.00000 | $0.00026 |
Grade A, and why
synapse-feature 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.
What it actually says
Implement SYNAPSE Feature
Autonomous multi-file feature development with architectural validation.
Critical Rules
- NEVER edit files under
~/.synapse/houdini/(deployed copies) — ALL edits must go to the repo source atSYNAPSE/houdini/. - After every file edit, verify: the edited file is in the correct repo directory, all imports resolve, and the change is consistent with He2025 conventions.
- Before marking complete, run a final validation that greps for any accidental edits to deployed paths.
Workflow
- Read the existing architecture in the relevant source directories
- Propose a file-by-file implementation plan — do NOT begin editing until the user approves the plan
- Implement each file change, validating after each edit
- Run tests:
python -m pytest tests/ -v - Final validation: confirm no deployed-path edits, all imports resolve, He2025 compliance (sort_keys=True on all json.dumps)
- Report what changed and remind user to redeploy if Houdini integration files were modified
Arguments
The user should describe the feature after invoking this skill:
/synapse-feature Add a new button to the panel that does X
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 First seen · 24 lines · 0 tokens per session scan A e4fdabf60d99
synapse-feature is a skill published in the GitHub repository JosephOIbrahim/Synapse (10 stars, last pushed 13d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 261 tokens. 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 2026-08-31.
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