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 skills add Borda/AI-Rig --skill change-analysisgit clone --depth 1 https://github.com/Borda/AI-RigWrote 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/borda/ai-rig/change-analysis)<a href="https://agentmods.dev/skills/borda/ai-rig/change-analysis"><img src="https://agentmods.dev/badge/skills/borda/ai-rig/change-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/borda/ai-rig/change-analysis"><img src="https://agentmods.dev/badge/skills/borda/ai-rig/change-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00019 | $0.01699 |
| Opus 5 | $0.00010 | $0.00849 |
| Sonnet 5 | $0.00004 | $0.00340 |
| Haiku 4.5 | $0.00002 | $0.00170 |
Grade A, and why
change-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 6d 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Change Analysis
Run evidence-first analysis: truth, risk, next action before implementation, review, release, sync.
Input Schema
{
"question": "required analysis question",
"scope": "required files, diff, issue text, report path, PR number, or repo area",
"mode": "local|github|report|ecosystem",
"done_when": "findings are source-backed, ranked, and have explicit confidence"
}
Workflow
Codex provides this selected SKILL.md path. Resolve PLUGIN_ROOT as the directory two levels above the containing skill directory, then use only helpers under PLUGIN_ROOT/shared/ that are listed in package-manifest.json. Never guess a cache version or fall back to a source checkout.
01: Create run directory
Run create_run.py --skill change-analysis per ../../shared/helper-cli-contract.md.
02: Normalize the analysis mode
local: code, local diff/reports, pasted text.github: live issue/release/repository metadata throughgithub_read.py; use only its audited built-in view groups (gist,issue,pr,project,release,repo,ruleset,run,workflow) or an explicit read-only GraphQL query for Discussions. PR collection usescollect_pr.pyonly. Prefergh; use the public HTTPS fallback only as a final public REST fallback.report:.reports/**or.reports/codex/**artifact.ecosystem: downstream/API/dependency impact; current external claims need live web evidence. Do not invokeghoutsidegithub_read.py.
For every github_read.py or collect_pr.py execution, apply the full networked CLI approval and denial contract in ../../shared/native-skill-contract.md to the complete owning command from its first attempt. The operation-specific brief is: Action and purpose: collect current GitHub analysis evidence; External capability: read-only GitHub network access; Credential behavior: gh, when used, is an opaque local credential broker; Filesystem and worktree effects: write evidence only to the analysis run directory, except a selected PR collector may create its documented local checkout; Retry policy and safe denial outcome: stop the turn on denial and use only already-available local or pasted evidence when the selected mode permits it. Runtime web tools keep their own permission path and receive no shell escalation.
What ships with it
1 file 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.
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.
- 6d ago First seen · 151 lines · 19 tokens per session scan A 1c064b2f944c
change-analysis is a skill published in the GitHub repository Borda/AI-Rig (27 stars, last pushed today), licensed Apache-2.0. It adds 19 tokens to every session and 1,699 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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