Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/cynthiajones34/GBrainnpx agentmods add skills/cynthiajones34/gbrain/concept-synthesisWrote 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/cynthiajones34/gbrain/concept-synthesis)<a href="https://agentmods.dev/skills/cynthiajones34/gbrain/concept-synthesis"><img src="https://agentmods.dev/badge/skills/cynthiajones34/gbrain/concept-synthesis/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/skills/cynthiajones34/gbrain/concept-synthesis"><img src="https://agentmods.dev/badge/skills/cynthiajones34/gbrain/concept-synthesis.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 | $0.00050 | $0.02030 |
| Opus 5 | $0.00025 | $0.01015 |
| Sonnet 5 | $0.00010 | $0.00406 |
| Haiku 4.5 | $0.00005 | $0.00203 |
Grade A, and why
concept-synthesis 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 9d 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.
This is a copy
86% identical to concept-synthesis — 61 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 256 lines — stays where its author put it; the contents beside it link to each section on GitHub.
concept-synthesis — From Raw Stubs to Intellectual Map
Convention: see conventions/quality.md for back-link enforcement and quote-fidelity requirements.
Convention: see _brain-filing-rules.md — output files under
concepts/per the primary-subject rule.
What this solves
Many ingestion pipelines (signal-detector, idea-ingest, voice-note-ingest) create a concept page for every idea mentioned. Over months this produces:
- Thousands of stub pages, many duplicates or near-duplicates
- Timeline entries that repeat the same source across multiple concept pages
- No synthesis — just "the user mentioned X on this date"
- No tier assignments — everything flat
- No clustering — related ideas aren't linked
This skill transforms that raw material into a curated intellectual map.
Architecture
Phase 1: Dedup + merge (deterministic)
N stubs → ~N/4 canonical concepts
├── Jaccard dedup (word-overlap on titles + first-paragraph)
├── Substring dedup ("founder mode" vs "founder mode vs manager mode")
├── Semantic dedup (LLM: "are these the same idea?")
└── Merge timelines + aliases from duplicates into the canonical page
Phase 2: Score + tier (deterministic + heuristic)
Each canonical concept → scored and tiered
├── Frequency: distinct sources referencing this concept
├── Timespan: first mention → last mention in days
├── Breadth: distinct months it appears in
├── Engagement: avg engagement on concept-bearing sources (if available)
└── Tier: T1 Canon | T2 Developing | T3 Speculative | T4 Riff
Phase 3: Synthesize (LLM, T1+T2 only)
T1 + T2 concepts → rich synthesis
├── Evolution narrative: how the idea sharpened over time
├── Best articulation: highest-engagement or most precise quote
├── Related concepts: cross-links to other concepts
├── Context: what was happening when this idea emerged / evolved
└── Counter-positions: what this idea argues against
Phase 4: Cluster + map (LLM)
All tiered concepts → intellectual clusters
├── Group related concepts into domains (auto-named via LLM)
├── Generate cluster summary pages
├── Build a master concepts/README.md with the full map
└── Identify idea genealogies (concept A → evolved into concept B)
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 256 lines · 50 tokens per session scan A 2bc060ae6d70
concept-synthesis is a skill published in the GitHub repository cynthiajones34/GBrain (0 stars, last pushed 1mo ago), licensed MIT. It adds 50 tokens to every session and 2,030 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to concept-synthesis, differing in 61 lines, and is treated as a copy.
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