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 skills add stefanoskarakasis/Product-Marketing-Skills --skill meta-synthesisgit clone --depth 1 https://github.com/stefanoskarakasis/Product-Marketing-SkillsWrote 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/stefanoskarakasis/product-marketing-skills/meta-synthesis)<a href="https://agentmods.dev/skills/stefanoskarakasis/product-marketing-skills/meta-synthesis"><img src="https://agentmods.dev/badge/skills/stefanoskarakasis/product-marketing-skills/meta-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/stefanoskarakasis/product-marketing-skills/meta-synthesis"><img src="https://agentmods.dev/badge/skills/stefanoskarakasis/product-marketing-skills/meta-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 | $0.00106 | $0.02331 |
| Opus 5 | $0.00053 | $0.01166 |
| Sonnet 5 | $0.00021 | $0.00466 |
| Haiku 4.5 | $0.00011 | $0.00233 |
Grade A, and why
meta-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 today.
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 — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
meta-synthesis — Skill
How This Works
Reads the session log every execution skill already writes to, finds patterns that repeat across 2 or more sessions, and turns confirmed patterns into either a guardrail (for /context/meta-patterns.md) or a brain update (for /foundation/brain.md). This is what makes the rest of the stack compound instead of starting fresh every session.
The skill runs in 5 steps:
Step 0 — Load /context/skill-sessions.md and /context/meta-patterns.md. Block if the session log doesn't exist or has zero rows.
Step 1 — Scan sessions for repeated patterns, both within one skill and across skills.
Step 2 — Rank patterns by confidence (occurrence count) and propose next action for each.
Step 3 — Surface proposed guardrails and brain updates, gated on user approval.
Step 4 — Write approved guardrails to /context/meta-patterns.md and approved brain updates to /foundation/brain.md. Log the session.
Trigger
- When: Detecting patterns across 2+ prior sessions logged by other skills, and turning confirmed patterns into guardrails or brain updates.
- Not for: Real-time feedback during a session — execution skills already check
/context/meta-patterns.mdat their own Step 0. Auditing a single skill's output quality → usemeta-review. One-off pattern lookups — this skill's value is in running it repeatedly. - Example prompts:
- "run meta-synthesis"
- "what patterns are emerging"
- "detect cross-skill signals"
- "update guardrails"
- "compound our learnings"
- "what should we remember"
Inputs
- Args: Timeframe to analyze — all sessions, or a specific window (e.g. last 30 days). Asked in Step 0 if not specified.
- Defaults: All sessions in
/context/skill-sessions.mdif no timeframe is given. - Context keys:
/context/skill-sessions.md— required. The session log every execution skill writes to./context/meta-patterns.md— optional; loaded if it exists, treated as empty otherwise./foundation/brain.md— optional; Sections 1-6 loaded silently as baseline context for proposed updates.- Brain contract: Reads Sections 1-6. Writes: Section named in an approved brain-update proposal only, after explicit user approval (Step 3).
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.
- today Changed · +4 lines 601f9318d40e
- 12d ago First seen · 211 lines · 106 tokens per session scan A 2e8a1b7ff1df
meta-synthesis is a skill published in the GitHub repository stefanoskarakasis/Product-Marketing-Skills (5 stars, last pushed today), licensed MIT. It adds 106 tokens to every session and 2,331 once invoked, about $0.0005 per session on Opus 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.
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