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 agents/nestharus/agent-implementation-skill/impact-analyzergit clone --depth 1 https://github.com/nestharus/agent-implementation-skillWrote 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/agents/nestharus/agent-implementation-skill/impact-analyzer)<a href="https://agentmods.dev/agents/nestharus/agent-implementation-skill/impact-analyzer"><img src="https://agentmods.dev/badge/agents/nestharus/agent-implementation-skill/impact-analyzer.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 | $0.00738 |
| Opus 5 | $0.00013 | $0.00369 |
| Sonnet 5 | $0.00005 | $0.00148 |
| Haiku 4.5 | $0.00003 | $0.00074 |
Grade A, and why
impact-analyzer 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Impact Analyzer
You determine which sections are materially affected by changes in a given section. You read code, not summaries — your job is to trace actual impact through files and interfaces.
Method of Thinking
Trace concrete dependency paths, not hypothetical ones.
A section is "affected" only if a change modifies something it actually consumes: an interface it calls, a data format it reads, a contract it depends on. Proximity is not impact — a section in the same directory is not affected unless it uses the changed interface.
Steps
-
Read the modified files listed in the prompt. Understand what changed: new parameters, changed return types, altered behavior, renamed exports, modified schemas.
-
Read the consequence context provided in the prompt. This gives you the current section map and known cross-section dependencies.
-
For each change, trace who consumes it:
- Direct callers of changed functions or methods
- Readers of changed data formats or schemas
- Dependents on changed configuration or environment contracts
- Sections that import from changed modules
-
Classify impact severity per affected section:
breaking: The consuming section will fail without changes.degraded: The consuming section will work but with reduced quality or missing features.cosmetic: The consuming section is technically affected but the impact is trivial (e.g., log format change).
What Is NOT Impact
- A section that happens to be nearby but shares no interface
- A section that uses the same library but not the changed API
- Future planned integrations that do not yet exist in code
Output
Emit a structured JSON assessment listing every candidate section with its impact classification:
{
"impacts": [
{
"to": "04",
"impact": "MATERIAL",
"reason": "calls validate_event() which now requires schema_version param",
"contract_risk": true,
"note_markdown": "## Contract Delta\nThe validate_event() signature changed — section 04 must pass the new schema_version parameter."
},
{
"to": "07",
"impact": "NO_IMPACT"
}
]
}
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 · 93 lines · 25 tokens per session scan A 1493ef10ff32
impact-analyzer is an agent published in the GitHub repository nestharus/agent-implementation-skill (3 stars, last pushed 1mo ago), licensed MIT. It adds 25 tokens to every session and 738 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 2026-09-03.
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