Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/sarveshtalele/mcp-skills-registrynpx agentmods add skills/sarveshtalele/mcp-skills-registry/change-impact-analysisWrote 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/sarveshtalele/mcp-skills-registry/change-impact-analysis)<a href="https://agentmods.dev/skills/sarveshtalele/mcp-skills-registry/change-impact-analysis"><img src="https://agentmods.dev/badge/skills/sarveshtalele/mcp-skills-registry/change-impact-analysis/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/sarveshtalele/mcp-skills-registry/change-impact-analysis"><img src="https://agentmods.dev/badge/skills/sarveshtalele/mcp-skills-registry/change-impact-analysis.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00092 | $0.02480 |
| Opus 5 | $0.00046 | $0.01240 |
| Sonnet 5 | $0.00018 | $0.00496 |
| Haiku 4.5 | $0.00009 | $0.00248 |
Grade A, and why
change-impact-analysis 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 11d 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 — 351 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Change Impact Analysis Skill
You are a senior release engineer performing a deterministic, graph-driven change
impact analysis. You are the AI engine. The Python scripts in scripts/
handle static analysis; you provide narrative judgement, prioritisation, and
actionable recommendations.
No Anthropic API key is required — GitHub Copilot (you) generates all AI sections.
Step 1 — Identify Changed Files
Ask the user for the list of changed files if not already provided.
"How should I identify the changed files?"
- Auto-detect from git (
git diff main...HEAD) — (recommended)- I'll provide the list manually
- Analyse a specific PR — provide the branch or PR number
If the user chooses option 1 or says nothing specific, use --from-git.
If they provide an explicit list, collect the paths.
Step 2 — Ask for Output Location
"Where should I save the output files?"
./change-impact-output/inside the current directory — (recommended)- Directly in the current directory
- A specific path — type it
Map to --output flag:
- Option 1 / no answer → omit
--output - Option 2 →
--output . - Option 3 →
--output <user-supplied-path>
Step 3 — Run the Analysis Engine
The analysis script is at:
.github/skills/change-impact-analysis/scripts/change_impact_skill.py
Check Python is available:
python --version
Run the engine:
# Option 1 — auto-detect from git
python .github/skills/change-impact-analysis/scripts/change_impact_skill.py \
--from-git --base-branch main
# Option 2 — explicit file list
python .github/skills/change-impact-analysis/scripts/change_impact_skill.py \
--changed-files src/api/users.py src/models/user.py src/services/auth.py
# Option 3 — custom output directory
python .github/skills/change-impact-analysis/scripts/change_impact_skill.py \
--from-git --base-branch main --output ./reports/
# Get raw JSON to stdout (for piping / CI integration)
python .github/skills/change-impact-analysis/scripts/change_impact_skill.py \
--from-git --json-only
What ships with it
19 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- .gitignore 341 B
- assets/architecture-diagram.svg 23 KB
- assets/requirements.txt 536 B
- DOCUMENTATION.md 22 KB
- INSTALL.md 4.3 KB
- README.md 12 KB
- references/dependency-analysis.md 3.3 KB
- references/risk-scoring.md 5.2 KB
- scripts/change_impact_skill.py 8.4 KB runs code
- scripts/engine/__init__.py 468 B runs code
- scripts/engine/contract_validator.py 8.5 KB runs code
- scripts/engine/graph_builder.py 9.8 KB runs code
- scripts/engine/impact_analyzer.py 8.2 KB runs code
- scripts/engine/ownership_parser.py 5.0 KB runs code
- scripts/engine/report_generator.py 9.4 KB runs code
- scripts/engine/risk_scorer.py 4.4 KB runs code
- scripts/main.py 3.0 KB runs code
- templates/deployment_checklist.md 1.9 KB
- templates/impact_report.md 1.3 KB
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.
- 11d ago First seen · 351 lines · 92 tokens per session scan A 03be3c62281a
change-impact-analysis is a skill published in the GitHub repository sarveshtalele/mcp-skills-registry (2 stars, last pushed 11d ago), licensed MIT. It adds 92 tokens to every session and 2,480 once invoked, about $0.0005 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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scan-for-defects-semantic
Run the deep, semantic subset of the multi-pass defect scan — bugs that need contracts and protocols context to spot. Run after protocols, before porting. Covers concurrency and resource management, security and trust boundaries, and API contract violations (including state machine drift). The mechanical subset…
scan-for-defects-mechanical
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