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/abilityai/cornelius/propagate-changenpx skills add Abilityai/cornelius --skill propagate-changegit clone --depth 1 https://github.com/Abilityai/corneliusWrote 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/abilityai/cornelius/propagate-change)<a href="https://agentmods.dev/skills/abilityai/cornelius/propagate-change"><img src="https://agentmods.dev/badge/skills/abilityai/cornelius/propagate-change.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 | $0.00025 | $0.00428 |
| Opus 5 | $0.00013 | $0.00214 |
| Sonnet 5 | $0.00005 | $0.00086 |
| Haiku 4.5 | $0.00003 | $0.00043 |
Grade A, and why
propagate-change 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 5d 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.
What it actually says
Propagate Framework/Note Change
When a note is substantially edited, this skill computes which downstream notes may be stale and need review. Uses the Brain Dependency Graph's staleness propagation engine with edge-type decay, distance decay, and hub dampening.
State Dependencies
| Source | Location | Read | Write | Description |
|---|---|---|---|---|
| Enrichments | resources/brain-graph/data/graph_enrichments.json |
✓ | ✓ | Updated staleness scores |
| LBS Graph | resources/local-brain-search/data/brain_graph.pkl |
✓ | NetworkX graph |
Process
Step 1: Run propagation
cd $PROJECT_ROOT/resources/brain-graph
../local-brain-search/venv/bin/python cli.py propagate "<NOTE_NAME>"
Optional: specify change magnitude (0.0-1.0) for partial changes:
../local-brain-search/venv/bin/python cli.py propagate "<NOTE_NAME>" --magnitude 0.5
Step 2: Present affected notes
Show the user which notes are flagged for review, sorted by staleness score.
For each affected note, explain:
- Why it's flagged (which upstream change, through what edge type)
- Suggested action: review, update, or mark as OK
Step 3: Offer to inspect specific notes
If the user wants details on any affected note:
../local-brain-search/venv/bin/python cli.py inspect "<NOTE_NAME>"
When to Use
- After substantially editing a framework or key insight note
- When the user says they've updated their thinking on a topic
- After ingesting new source material that contradicts existing notes
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.
- 5d ago First seen · 55 lines · 25 tokens per session scan A 6f2394daf1b3
propagate-change is a skill published in the GitHub repository Abilityai/cornelius (105 stars, last pushed 12d ago), licensed MIT. It adds 25 tokens to every session and 428 once invoked, about $0.0001 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 2026-08-30.
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