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 skills/ankitclassicvision/ankit_shared_skills/skillifynpx skills add AnkitClassicVision/ankit_shared_skills --skill skillifygit clone --depth 1 https://github.com/AnkitClassicVision/ankit_shared_skillsWrote 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/ankitclassicvision/ankit_shared_skills/skillify)<a href="https://agentmods.dev/skills/ankitclassicvision/ankit_shared_skills/skillify"><img src="https://agentmods.dev/badge/skills/ankitclassicvision/ankit_shared_skills/skillify.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 | $0.00080 | $0.01838 |
| Opus 5 | $0.00040 | $0.00919 |
| Sonnet 5 | $0.00016 | $0.00368 |
| Haiku 4.5 | $0.00008 | $0.00184 |
Grade A, and why
skillify 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 4d 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 — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/skillify — Universal Codebase Skillification
One-line pitch
Point it at any repo. Get a .skill-pack/ manifest that turns the repo into a consumable skill for agents. Three context layers, annotated interfaces, inferred ADRs — machine-readable, always fresh, never destructive. Works on Python, JS, Go, Rust, Markdown, monorepos.
Invocation
/skillify [path]
path: Repo path (defaults to.)- Zero flags. All behavior auto-detected:
- Scans the repo live (never reads stale
.run-project/) - Determines analysis tier from size:
- Surface (<100 LOC): file map + extension distribution
- Shallow (100–2000 LOC): + semantic contracts + entry points
- Deep (>2000 LOC): + import graph, circular deps, deep scores, hotspots
- Writes
.skill-pack/directory with timestamped snapshots - Never overwrites destructively — appends with timestamps
- Scans the repo live (never reads stale
When to use it
| Situation | Why |
|---|---|
Starting /run-project on brownfield |
Give the pipeline a pre-built skill manifest |
| During spec diagramming | .skill-pack/PROJECT.md feeds into SEEIT |
| Post-refactor audit | Re-skillify to update context |
| Onboarding a new AI agent | Point it at .skill-pack/PROJECT.md first |
| Any repo that agents need to understand | Reusable context, always current |
What it produces
.skill-pack/
PROJECT.md # Repo-as-skill manifest
context/
structural.json # Module map, import graph, circular deps
semantic.json # Type signatures, contracts, entry points
philosophical.json # Deep scores, hotspots, recommendations
interfaces/
{module}.md # Annotated public API per module
adrs/
adr-{NNN}.md # Inferred architectural decisions
Tiered analysis
| Tier | Trigger | What gets analyzed |
|---|---|---|
| Surface | <100 LOC | File map, extensions, module names, basic metadata |
| Shallow | 100–2000 LOC | + AST parsing for Python, function/class signatures, entry points, basic contracts |
| Deep | >2000 LOC | + Full import graph, circular dependency detection, deep module scoring, hotspots, refactoring recommendations |
What ships with it
3 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.
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.
- 4d ago First seen · 182 lines · 80 tokens per session scan A ebecd36b8588
skillify is a skill published in the GitHub repository AnkitClassicVision/ankit_shared_skills (11 stars, last pushed 23d ago), licensed MIT. It adds 80 tokens to every session and 1,838 once invoked, about $0.0004 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.
Other skills, from other repositories
add
Process a document (PRD, architecture doc, security requirements, etc.) into structured context. Extracts relevant information and generates appropriate SCDs.
init
Initialize structured context for this project. Scaffolds .scs/ with all 11 concern bundles, scans the project, and recommends where to start.
status
Show what structured context exists and what's missing. Overview of bundles, SCDs, coverage across all 11 concerns, and compilation sync status.
validate
Check structure and surface issues for human review. Validates YAML, references, concern coverage, and compilation status.
use
Add known compliance or regulatory standards (HIPAA, SOC2, PCI, CHAI, GDPR) to your project context. Copies pre-built standards SCDs from the plugin's standards library.
version
Lock bundles with semantic versioning. Guides through version selection, updates files, and integrates with git.