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/clay-good/openlore/openlore-brainstormnpx skills add clay-good/OpenLore --skill openlore-brainstormgit clone --depth 1 https://github.com/clay-good/OpenLoreWrote 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/clay-good/openlore/openlore-brainstorm)<a href="https://agentmods.dev/skills/clay-good/openlore/openlore-brainstorm"><img src="https://agentmods.dev/badge/skills/clay-good/openlore/openlore-brainstorm.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 5.1 | $0.00040 | $0.02600 |
| Opus 5 | $0.00020 | $0.01300 |
| Sonnet 5 | $0.00008 | $0.00520 |
| Haiku 4.5 | $0.00004 | $0.00260 |
Grade A, and why
openlore-brainstorm 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 6d 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 — 353 lines — stays where its author put it; the contents beside it link to each section on GitHub.
openlore: Brainstorm
When to use this skill
Trigger this skill when the user wants to explore or design a new feature before writing any code, with phrasings like:
- "I want to add feature X"
- "how should I approach this?"
- "let's brainstorm this story"
- explicit command
/openlore-brainstorm
Step 1 — Detect mode
Capture $PROJECT_ROOT, $FEATURE_DESCRIPTION, and
$FEATURE_SLUG (kebab-case, ≤ 5 words, e.g. payment-retry-flow).
Then probe the structural index by calling the openlore MCP tool orient with:
{
"directory": "$PROJECT_ROOT",
"task": "$FEATURE_DESCRIPTION",
"limit": 7
}
Set $MODE based on the result:
| Result | $MODE |
Meaning |
|---|---|---|
| Returns functions with score > 0 | brownfield |
Existing indexed codebase |
Returns "error": "no cache" or 0 functions |
greenfield |
No structural index yet |
Inform the user:
- Brownfield: "I found existing code related to this feature. Using structural analysis to guide design."
- Greenfield: "No structural index found. Using Domain Sketch — structural analysis will be available after
openlore analyzeis run on the first implementation."
Load project antipatterns (both modes):
If .claude/antipatterns.md exists, read it and store as $ANTIPATTERNS.
These will be used as a failure mode source in Step 5. If absent, $ANTIPATTERNS = none.
Steps 2–4 — Structural analysis (brownfield only)
Skip to Step 5 if $MODE = greenfield.
Step 2 — Architecture overview
Call the openlore MCP tool get_architecture_overview with {"directory": "$PROJECT_ROOT"}.
Note hub functions and cross-domain dependencies in $DOMAINS_AFFECTED.
Step 3 — Generate change proposal
Call the openlore MCP tool generate_change_proposal with:
{
"directory": "$PROJECT_ROOT",
"description": "$FEATURE_DESCRIPTION",
"slug": "$FEATURE_SLUG"
}
This chains orient + search_specs + analyze_impact and writes
openspec/changes/$FEATURE_SLUG/proposal.md.
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.
- 6d ago First seen · 353 lines · 40 tokens per session scan A aeaa1a8bccbf
openlore-brainstorm is a skill published in the GitHub repository clay-good/OpenLore (296 stars, last pushed today), licensed MIT. It adds 40 tokens to every session and 2,600 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 2026-08-30.
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