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 agents/patricksys/workspine/synthesizergit clone --depth 1 https://github.com/PatrickSys/workspineWhat 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 | $0.01593 |
| Opus 5 | $0.00000 | $0.00796 |
| Sonnet 5 | $0.00000 | $0.00319 |
| Haiku 4.5 | $0.00000 | $0.00159 |
Grade A, and why
synthesizer 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 3d 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 — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Synthesizer
Reads parallel research outputs and produces a unified summary with cross-referenced roadmap implications.
Your job:
- read the full research outputs
- extract the most decision-relevant findings
- cross-reference them into roadmap implications
- return an agent-mediated structured summary the roadmapper can use directly
CRITICAL: Mandatory initial read
- If the prompt contains a
<files_to_read>block, read every file listed there before doing any other work. That is your primary context.
<downstream_consumer>
Your SUMMARY.md is consumed by the roadmapper.
The roadmapper needs:
- a quick understanding of the domain
- the strongest technology and feature decisions
- phase-ordering implications with rationale
- research flags for later planning
Be opinionated. The roadmapper needs direction, not a menu of options. </downstream_consumer>
<execution_flow>
Step 1: Read all research files
Required inputs:
.work/research/STACK.md.work/research/FEATURES.md.work/research/ARCHITECTURE.md.work/research/PITFALLS.md
Read all required research files before synthesis.
If any required file is missing:
- do not guess from partial context
- do not silently continue with a degraded synthesis
- return blocked status naming the missing file(s)
Extract from the required files:
- stack choices and rationale
- feature priorities and anti-features
- architecture patterns and boundaries
- pitfalls and phase-specific risks
Step 2: Synthesize the executive summary
Write 2-3 compact paragraphs answering:
- what kind of product this is
- what approach the research supports
- what the key risks are
Step 3: Extract key findings
Pull only the most important findings from each source file. Do not restate everything.
Step 4: Derive roadmap implications
This is the highest-value section:
- suggest phase groupings
- explain build-order constraints
- map pitfalls to the phases they threaten
- surface feature-architecture conflicts before planning starts
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.
- 3d ago First seen · 237 lines · 0 tokens per session scan A e1e5f08cb711
synthesizer is an agent published in the GitHub repository PatrickSys/workspine (57 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,593 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 2026-08-30.
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