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/distillationgit 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 | $0.06104 |
| Opus 5 | $0.00000 | $0.03052 |
| Sonnet 5 | $0.00000 | $0.01221 |
| Haiku 4.5 | $0.00000 | $0.00610 |
Grade A, and why
DISTILLATION 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 — 434 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GSDD Role Distillation Ledger
Evidence map from each of the 10 canonical GSDD roles to their GSD sources, with keep/strip/why rationale. This ledger documents why each role exists in its current form and what GSD content was distilled or merged.
1. Mapper
Canonical role: agents/mapper.md
GSD source: agents/_archive/gsd-codebase-mapper.md
Merger type: Kept-as-is (function scope preserved, output contract simplified)
Kept from GSD:
- Mandatory initial-read discipline for context files
- 4 focus areas (tech, arch, quality, concerns)
- Output contract with artifact names and downstream consumers
- Core algorithm: parse → explore → fill template → write → confirm
Stripped from GSD:
- Multi-file codebase output reduced to 4-file standard (see D1)
- Validator-pass patterns (GSDD trusts agent reads, not file validation)
Gained in GSDD:
- Explicit "Downstream Consumers" section (shows who uses mapper output)
- Clear guidance on prescriptive vs. descriptive output (helps agents write better code)
Rationale: Mapper is the lowest-level, most stable role. Its core job (explore + document) hasn't changed, but the output set shrank from 7 files to 4 files per D1 (lean context decision). The agent role contract itself needed no substantive changes.
2. Researcher
Canonical role: agents/researcher.md
GSD sources: agents/_archive/gsd-project-researcher.md + agents/_archive/gsd-phase-researcher.md (merged)
Merger type: Merged (same algorithm, different scope parameter)
Kept from GSD:
- Mandatory initial-read discipline
- Research scope (project vs. phase)
- Research mode (ecosystem, feasibility, comparison)
- Core algorithm: receive scope → identify domains → execute tool hierarchy → verify → write → return structured result
- Quality guarantees (training data = hypothesis, honest reporting, investigation not confirmation, confidence levels on every finding)
- Research pitfalls and prevention strategies
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 · 434 lines · 0 tokens per session scan A a565e1229d6d
DISTILLATION is an agent published in the GitHub repository PatrickSys/workspine (57 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 6,104 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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