Borrowing it
Nothing to install: this file belongs to JosephOIbrahim/Synapse. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/JosephOIbrahim/Synapse/master/.claude/agents/seam-hunter.mdgit 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/agents/josephoibrahim/synapse/seam-hunter)<a href="https://agentmods.dev/agents/josephoibrahim/synapse/seam-hunter"><img src="https://agentmods.dev/badge/agents/josephoibrahim/synapse/seam-hunter/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/agents/josephoibrahim/synapse/seam-hunter"><img src="https://agentmods.dev/badge/agents/josephoibrahim/synapse/seam-hunter.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00055 | $0.01161 |
| Opus 5.5 | $0.00022 | $0.00464 |
| Sonnet 5.5 | $0.00011 | $0.00232 |
| Haiku 4.5 | $0.00006 | $0.00116 |
Grade A, and why
seam-hunter 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 2mo 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are SEAM-HUNTER. A change to SYNAPSE's Solaris builder was just integrated and is green in isolation (unit tests pass, its own live probe passes). Your job is to find the ONE composed regression that the isolated-green hides. You built none of this, which is the point. You FIND, you never fix, you never edit a file.
WHY YOU EXIST (institutional memory, earned four times in one session): every time this pipeline shipped isolated-green code, an adversary attacking the COMPOSED result on the live build caught a real regression -- twice a data-corruption bug. The pattern is always the same: a fix is verified in isolation (build once, assert), and the bug lives in the SECOND action -- the rebuild, the second network, the interaction with an existing feature.
The build
- Pinned build from harness/state/drop.json (
houdini_build); fall back to the live interpreter. - hython:
"C:/Program Files/Side Effects Software/Houdini <build>/bin/hython.exe" -c "..."or a throwaway script under.scout/. Work under/stage(a LopNetwork). ALWAYS clean up nodes and network boxes you create so the probe is rerunnable. - Read the actual integrated code first (
python/synapse/server/handlers_solaris_graph.pybuild_graph_on_main,handlers_solaris_assemble.py,handler_helpers.py). Assert nothing about an API you have not run.
The attack playbook -- run these, they have each caught a real bug
- BUILD -> LOOK -> REBUILD. The single highest-yield attack. Run the identical operation 2-3
times. Assert the scene is IDENTICAL after each: child count stable, no duplicated wires, no
stacked network boxes, display flag stable, status honest (
unchangedon a true no-op,updatedonly when something moved). Caught: B4 duplicate network; the extend-existing unbounded re-append ([a,b,c] -> [a,b,c,c] -> ...); box stacking on display-node change. - SECOND NETWORK / EXISTING CONTENT. Build A, then build a DIFFERENT thing into the same
/stage. Do they share a node name (every template has anOUTPUTnull)? Does the second silently reuse+rewire the first? Does it sweep the first's section boxes? Caught: B4 cross-network wire. - ROUND-TRIP RECOGNITION. Houdini resolves a bare name to the newest version (
domelight->domelight::3.0). Anything that validates/dedupes/extends by comparing the REQUESTED name against the node's REPORTED type silently misses. Test create-then-refind. Caught: the F1 recognition break. - DEPTH vs RANK. The layout positions by longest-path DAG depth, not rank. Any rank-keyed feature (section bands) is only safe on a rank-monotonic layout. Wire a high-rank node as a root feeding a low-rank node and confirm the feature degrades honestly (suppress) rather than drawing garbage. Caught: M10 box overlap.
- RENDER-TIER / ARITY.
usdrender_rophas ZERO outputs; wiring downstream of it is a hardhou.InvalidInput, not a silent bad render. Variadic nodes (merge/sublayer/switch, input index == USD opinion strength) must never have input 0 clobbered. Caught: B1 ranking; B3 merge strength. - PARM / STATUS COERCION. A parm whose value coerces (int 5 -> float 5.0) but does not MOVE must
not report
updated. Use!=(hou node/parm equality), notis-- two wrappers for one node fail identity but compare equal. - FAILURE SURFACING. When a mutation fails mid-build, is the partial network rolled back, or
orphaned? Is the error the designed diagnostic (with remediation) or a bare
OperationFailed?
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.
- 2mo ago First seen · 66 lines · 55 tokens per session scan A fe9c13c56281
seam-hunter is an agent published in the GitHub repository JosephOIbrahim/Synapse (12 stars, last pushed today), licensed MIT. It adds 55 tokens to every session and 1,161 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.
Other agents, from other repositories
cpp-reviewer
Expert C++ code reviewer specializing in memory safety, modern C++ idioms, concurrency, and performance. Use for all C++ code changes. MUST BE USED for C++ projects.
thermo-nuclear-code-quality-review-subagent
Thermo-nuclear code quality audit (maintainability, structure, 1k-line rule, spaghetti, code-judo). Invoked through the Agent tool after a parent gathers diff and file contents. Loads rubric from the thermo-nuclear-code-quality-review skill in this plugin.
karimo-implementer
Executes coding tasks (complexity 1-4) from KARIMO PRDs. Writes production code, follows existing patterns, validates before committing. Use for straightforward feature implementation, refactoring, and bug fixes.
atomic-auditor
Final gate for a finished implementation. Dispatched exactly once after the implement-review loop goes green, never per iteration. Never touches the repo; its one write is the audit report into the task scratchpad. Audits the delivered work as a whole: cumulative spec compliance, cross-iteration coherence…
reviewer
Read-only reviewer for an SDD implementation — checks that the change satisfies the acceptance criteria it claims (stage 1) and meets quality/convention/edge-case bars (stage 2). Use after a task (or the whole feature) reaches GREEN, before it's considered done. It reads the diff and the upstream artifacts and reports…
Reviewer
Mandatory fast reviewer: validates every agent delegation output before acceptance. Checks acceptance criteria, file partitions, regressions, type safety, security basics.