Borrowing it
Nothing to install: this file belongs to randhirk/AICodeGrapher. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/randhirk/AICodeGrapher/main/.cursor/skills/aicodegrapher-next/SKILL.mdgit clone --depth 1 https://github.com/randhirk/AICodeGrapherWrote 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/randhirk/aicodegrapher/aicodegrapher-next)<a href="https://agentmods.dev/skills/randhirk/aicodegrapher/aicodegrapher-next"><img src="https://agentmods.dev/badge/skills/randhirk/aicodegrapher/aicodegrapher-next/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/randhirk/aicodegrapher/aicodegrapher-next"><img src="https://agentmods.dev/badge/skills/randhirk/aicodegrapher/aicodegrapher-next.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 | $0.00060 | $0.00309 |
| Opus 5.5 | $0.00024 | $0.00124 |
| Sonnet 5.5 | $0.00012 | $0.00062 |
| Haiku 4.5 | $0.00006 | $0.00031 |
Grade A, and why
aicodegrapher-next 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 1mo 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
AICodeGrapher — next features
Work in the extensions/ folder. Do not bloat core until a feature is stable.
List & run
python3 -m extensions
python3 -m extensions.impact "<symbol or path>"
python3 -m extensions.symbol_search "<query>"
python3 -m extensions.incremental --since HEAD~1
python3 -m extensions.monorepo --package <subpath>
python3 -m extensions.dashboard -o codegraph.html
python3 -m extensions.presets list
Rules
- Read
extensions/README.mdand the feature’sREADME.mdfirst. - Implement in
extensions/<feature>/until tests + CLI/MCP API are clear. - Promote into
src/codegrapher/only when ready (seeextensions/ROADMAP.md). - Reuse
codegrapher.load.load_graph— do not reimplement scanning.
Priority
- impact + symbol_search
- incremental + monorepo
- github_action + dashboard
- presets + vscode_extension
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.
- 1mo ago First seen · 38 lines · 60 tokens per session scan A 3e3acf5f6bbc
aicodegrapher-next is a skill published in the GitHub repository randhirk/AICodeGrapher (2 stars, last pushed 2mo ago), licensed MIT. It adds 60 tokens to every session and 309 once invoked, about $0.0002 per session on Opus 5.5. 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.
Other skills, from other repositories
go-testing
Trigger: Go tests, go test coverage, Bubbletea teatest, golden files. Apply focused Go testing patterns.
review-work
Post-implementation gate review: run manual QA on the real surface yourself, then launch ONE gate reviewer (never a panel) to audit goal, constraints, code quality, security, missed context, and QA evidence. Use before a PR handoff or when the user explicitly asks to review completed work.
tech-lead/code-review
A checklist-based method for examining code for correctness, security, performance, clarity, and ease of maintenance.
package-optimizer
Evaluate one existing package or bounded package family from recorded evaluator evidence and a capability profile, then propose retain, simplify, strengthen, retire, or inconclusive without editing. Use when optimizing a skill, agent, hook, rule, command, utility, or preset; evaluating whether package detail is…
ijfw-cross-audit
Generate a cross-platform multi-model audit (Trident) on a diff, brief, or artifact. Trigger: 'cross audit', 'Trident', 'second opinion', 'check with other models', 'check with other AIs', 'cross-check this', 'get another perspective', /cross-audit.
pre-push
Pre-push security and quality pipeline: secrets scan, then tests, lint and review. TRIGGER automatically whenever the user requests a git push: 'push my changes', 'push to origin', 'push this', 'push the code', 'commit and push', 'ship it', 'deploy to remote', 'deploy to prod/staging/production', or any git push…