change-impact-annotate

change-impact-annotate is a skill for Claude Code from SteveGJones/ai-first-sdlc-practices. It costs 55 tokens per session (439 once invoked), scanned A, original, MIT.

A guided record of how a code change affects requirements, designs, tests, source code, and modules in projects subject to standards such as IEC 62304, FDA rules, or ISO 26262.

In plain words
What is it for?
Use it before submitting a covered change to identify affected records, capture its effects and verification method, and run the project’s change check.
Why use it?
It creates the change documentation needed when regulated-project checks require evidence of affected areas and human review.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the sdlc-assured plugin — 8 skills shipped together

Good fit Use it before submitting a covered change to identify affected records, capture its effects and verification method, and run the project’s change check.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/stevegjones/ai-first-sdlc-practices/change-impact-annotate
Install

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.

Any agent
npx skills add SteveGJones/ai-first-sdlc-practices --skill change-impact-annotate
Clone the repo
git clone --depth 1 https://github.com/SteveGJones/ai-first-sdlc-practices

Made for: Claude Code.

Or install sdlc-assured, the plugin that ships this one along with the rest of its 8 skills.

Wrote 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.

agentmods badge for change-impact-annotate

README.md
[![agentmods](https://agentmods.dev/badge/skills/stevegjones/ai-first-sdlc-practices/change-impact-annotate/github.svg)](https://agentmods.dev/skills/stevegjones/ai-first-sdlc-practices/change-impact-annotate)
Your own site
<a href="https://agentmods.dev/skills/stevegjones/ai-first-sdlc-practices/change-impact-annotate"><img src="https://agentmods.dev/badge/skills/stevegjones/ai-first-sdlc-practices/change-impact-annotate/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.

agentmods 80×15 button for change-impact-annotate

Your own site · 80×15
<a href="https://agentmods.dev/skills/stevegjones/ai-first-sdlc-practices/change-impact-annotate"><img src="https://agentmods.dev/badge/skills/stevegjones/ai-first-sdlc-practices/change-impact-annotate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 439 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00055 $0.00439
Opus 5 $0.00028 $0.00219
Sonnet 5 $0.00011 $0.00088
Haiku 4.5 $0.00006 $0.00044

Measured 10d ago against content hash 885ae4b848f9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

change-impact-annotate 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 10d 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.

plugins/sdlc-assured/skills/change-impact-annotate/SKILL.md · 43 lines

What it actually says

Skill: change-impact-annotate

Use this skill before pushing a code change that touches a regulated-context project where change_impact_gate is enabled. Produces a docs/change-impacts/CHG-NNN.md record that satisfies the gate.

Inputs

  • The unstaged or just-staged code changes (read from git diff)

Steps

  1. Inspect the diff. Identify the touched files and (best-effort) the touched functions.

  2. Map files to module IDs using programs.yaml.

  3. Map touched functions to cited artefact IDs by parsing existing # implements: annotations.

  4. Compute the next CHG number. Scan docs/change-impacts/CHG-*.md; new ID = max + 1.

  5. Generate a draft. Use the change-impact.md template, pre-filled with:

    • Discovered REQs, DESs, TESTs, code locations, modules
    • Empty fields for: change summary, downstream effects, verification approach, approver
  6. Prompt the user to fill in the empty fields. Surface verification approach as the highest-stakes field (this is the regulator's primary check).

  7. Save. Write to docs/change-impacts/CHG-<NNN>.md.

  8. Re-run change_impact_gate to verify the record covers all touched code files.

  9. Remind. "Approval signature is required before merge — the framework records it; the human authorises it."

Done criteria

  • CHG-<NNN>.md written.
  • All touched code files cited in the record.
  • change_impact_gate passes.
Changes

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.

  1. 10d ago First seen · 43 lines · 55 tokens per session scan A 885ae4b848f9

Subscribe to this mod's changes

change-impact-annotate is a skill published in the GitHub repository SteveGJones/ai-first-sdlc-practices (41 stars, last pushed 1mo ago), licensed MIT. It adds 55 tokens to every session and 439 once invoked, about $0.0003 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.

Related

Other skills, from other repositories

specification-writing

A workflow for writing complete patent specifications from patent claims and an invention disclosure. It adapts the document to a chosen jurisdiction, such as the US, Europe, or China.

wanshuiyin/Auto-claude-code-research-in-sleep · 49 tokens

regulatory-research-fallback

Fallback workflow for regulatory research when web extraction tools fail on government PDFs.

HKUDS/OpenSpace · 20 tokens

x-scorecard

OpenSSF Scorecard for assessing open source project security. Check security best practices and compliance. Dependency: This is an x-cmd module. Install x-cmd first (see x-cmd skill for installation options). see x-cmd skill for installation.

x-cmd/x-cmd · 57 tokens

gesellschaftsrechtliche-satzungen-agb

Für Gesellschaftsrechtliche Satzungen AGB Abgrenzung: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: AGB-Recht-Prüfer. Route: gesellschaftsrechtliche-satzungen-agb.

Klotzkette/claude-fuer-deutsches-recht · 69 tokens

memstack-business-gdpr

Use this skill when the user says 'GDPR', 'data protection', 'privacy compliance', 'DPA', 'DSAR', 'data subject request', 'cookie consent', 'privacy audit', 'CCPA', or asks 'do I need GDPR for this repo'. Scans the repository to detect what personal data is collected, classifies sensitivity, determines whether GDPR…

cwinvestments/memstack · 121 tokens

nda-review

Use when the user uploads or pastes a non-disclosure agreement and asks for review, redline, risk assessment, or a recommendation on whether to sign. Identifies missing standard protections, one-sided or unusual provisions, and operational issues; produces a structured report with severity ratings and citations to…

LegalQuants/lq-ai · 79 tokens