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/dixus/claudeframework/impactnpx skills add dixus/claudeframework --skill impactgit clone --depth 1 https://github.com/dixus/claudeframeworkWhat 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 | $0.00032 | $0.00688 |
| Opus 5 | $0.00016 | $0.00344 |
| Sonnet 5 | $0.00006 | $0.00138 |
| Haiku 4.5 | $0.00003 | $0.00069 |
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 2d 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
Analyze the blast radius of changing a function, method, class, or file before making the change.
$ARGUMENTS is the target to analyze. Can be:
- A function name:
enqueue_email - A file path:
src/modules/documents/services.py - A class:
SupplierInvitation - A method:
Tender.clone
Steps
-
Resolve the target — find the definition:
- Use Grep to locate the function/class/method definition
- Read the file to understand its signature (params, return type)
- Note any recent signature changes (new optional params, changed return type)
-
Find all call sites — everywhere the target is used:
- Grep for the function/class name across the entire codebase
- Group results by module: API services, routes, worker tasks, tests, frontend hooks
- For each call site, note whether it passes all current params or relies on defaults
-
Find all test mocks — tests that patch or mock the target:
- Grep for
patch("...target_name"),mock_target_name,AsyncMockreferences - Grep for
vi.mockandvi.fnin frontend test files that reference the endpoint - Note which mock factories would need updating if the signature changes
- Grep for
-
Find frontend consumers (if the target is a route or service behind a route):
- Identify the API endpoint(s) that call this function
- Grep frontend
hooks/andlib/for the endpoint path - Check TypeScript types in
types/api.tsthat would need updating
-
Find downstream dependencies — other functions that depend on the target's return value:
- If the target returns an ORM object or dict, find code that accesses specific fields of that return value
- If the target writes to DB, find queries that read from the same table
-
Report — print a structured summary:
## Impact Analysis: `<target>`
### Definition
- File: <path>:<line>
- Signature: <current signature>
### Call Sites (<count>)
| File | Line | Passes all params? |
|---|---|---|
| ... | ... | ✅ / ❌ missing: param_x, param_y |
### Test Mocks (<count>)
| Test file | Mock pattern | Needs update? |
|---|---|---|
### Frontend Consumers (<count>)
| File | Hook/Function | Endpoint |
|---|---|---|
### Downstream Dependencies
- <any functions that consume this target's return value>
### Risk Assessment
- **Blast radius**: small (≤3 files) / medium (4-10 files) / large (>10 files)
- **Recommended approach**: <one-line suggestion>
Do NOT make any code changes. This skill is read-only analysis.
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.
- 2d ago First seen · 76 lines · 32 tokens per session scan A 790e889db13b
impact is a skill published in the GitHub repository dixus/claudeframework (10 stars, last pushed 4mo ago), licensed MIT. It adds 32 tokens to every session and 688 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 2026-08-31.
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