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/perilevy/lsp-intelligence/impactnpx skills add perilevy/lsp-intelligence --skill impactgit clone --depth 1 https://github.com/perilevy/lsp-intelligenceWrote 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/perilevy/lsp-intelligence/impact)<a href="https://agentmods.dev/skills/perilevy/lsp-intelligence/impact"><img src="https://agentmods.dev/badge/skills/perilevy/lsp-intelligence/impact.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 | $0.00020 | $0.00283 |
| Opus 5 | $0.00010 | $0.00142 |
| Sonnet 5 | $0.00004 | $0.00057 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
impact 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 3d 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
Impact Analysis
Analyze the full impact of changing the symbol the user specified.
Steps
- Run
impact_tracewith the user's symbol name. If the user passed--depth <number>, use that asmax_depth; otherwise default to 3. If it returns no results, runworkspace_symbolswith the same query to suggest similar names — the user may have a typo or the symbol may live in a non-TS file. - Run
find_test_fileswith the same symbol to identify tests that need updating - Present a summary:
- Severity: LOW (< 5 refs), MEDIUM (5-20 refs), HIGH (> 20 refs)
- Direct references: files that import/call the symbol directly
- Transitive references: files affected through type aliases or re-exports
- Affected tests: test/spec/stories files that reference the symbol
- If severity is HIGH, suggest running
gather_contexton the most affected files before proceeding - If the user wants to continue, offer to run
outlineon the files they'll need to modify
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.
- 3d ago First seen · 22 lines · 20 tokens per session scan A 343d8cbf0a8f
impact is a skill published in the GitHub repository perilevy/lsp-intelligence (1 stars, last pushed 5mo ago), licensed MIT. It adds 20 tokens to every session and 283 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 2026-08-31.
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