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 skills/qte77/claude-code-plugins/persisting-bigpicture-learningsnpx skills add qte77/claude-code-plugins --skill persisting-bigpicture-learningsgit clone --depth 1 https://github.com/qte77/claude-code-pluginsWrote 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/qte77/claude-code-plugins/persisting-bigpicture-learnings)<a href="https://agentmods.dev/skills/qte77/claude-code-plugins/persisting-bigpicture-learnings"><img src="https://agentmods.dev/badge/skills/qte77/claude-code-plugins/persisting-bigpicture-learnings.svg" alt="Measured on agentmods" 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 | $0.00034 | $0.00728 |
| Opus 5 | $0.00017 | $0.00364 |
| Sonnet 5 | $0.00007 | $0.00146 |
| Haiku 4.5 | $0.00003 | $0.00073 |
Grade A, and why
persisting-bigpicture-learnings 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 yesterday.
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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Persist Bigpicture to Learnings Hub
Target: $ARGUMENTS
Persists the output of /synthesizing-cc-bigpicture as a dated snapshot in a
learnings hub. Maintains a latest.md pointer (always current) and an
append-only archive for compound cross-session learning.
Arguments
| Position | Name | Required | Default | Description |
|---|---|---|---|---|
| 1 | input-path |
no | bigpicture.md |
Path to bigpicture synthesis output |
| 2 | hub-path |
no | docs/learnings/cc-bigpicture/ |
Directory for learnings hub |
Examples:
/persisting-bigpicture-learnings
/persisting-bigpicture-learnings ~/.claude/bigpicture.md
/persisting-bigpicture-learnings bigpicture.md docs/learnings/cc-bigpicture/
Output Structure
docs/learnings/cc-bigpicture/
├── latest.md # Always the most recent synthesis
└── archive/
├── 2026-04-01.md
├── 2026-04-03.md
└── 2026-04-06.md # Today's snapshot
Workflow
-
Parse arguments — Apply defaults per Arguments table.
-
Read input — Read
input-path. If the file does not exist, report error and stop. -
Create hub directory — Create
hub-pathandhub-path/archive/if absent. -
Write latest — Write full synthesis content to
hub-path/latest.md. Always overwrite — this is the current-state pointer. -
Write archive snapshot — Determine today's date (
YYYY-MM-DD).- If
hub-path/archive/YYYY-MM-DD.mddoes not exist, create it with the synthesis content. - If it does exist, append a
---separator followed by the new synthesis content. This preserves all snapshots from the same day.
- If
-
Report — Confirm paths written and archive entry count for today.
Integration
Runs after /synthesizing-cc-bigpicture. Chain the two skills:
/synthesizing-cc-bigpicture all 7d bigpicture.md
/persisting-bigpicture-learnings bigpicture.md docs/learnings/cc-bigpicture/
Compound Learning
Other skills can read hub-path/latest.md for prior synthesis context:
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.
- yesterday First seen · 92 lines · 0 tokens per session scan A c96d9089f7d2
persisting-bigpicture-learnings is a skill published in the GitHub repository qte77/claude-code-plugins (2 stars, last pushed 5d ago), licensed Apache-2.0. It adds 34 tokens to every session and 728 once invoked, about $0.0002 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 2026-09-03.
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