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 kunalsuri/ai-fication-kit --skill cold-startgit clone --depth 1 https://github.com/kunalsuri/ai-fication-kitWrote 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/kunalsuri/ai-fication-kit/cold-start)<a href="https://agentmods.dev/skills/kunalsuri/ai-fication-kit/cold-start"><img src="https://agentmods.dev/badge/skills/kunalsuri/ai-fication-kit/cold-start.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 5.1 | $0.00064 | $0.01134 |
| Opus 5 | $0.00032 | $0.00567 |
| Sonnet 5 | $0.00013 | $0.00227 |
| Haiku 4.5 | $0.00006 | $0.00113 |
Grade A, and why
cold-start 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 7d 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cold-start the knowledge layer
The contract: read-and-write-docs-only — touch no source code, tag everything
[inferred], and stop at an AUDIT TODO for the human. You draft the map; a human
verifies it before any feature is built.
1. Load the facts
Read ai/repo-profile.json (deterministic output of the kit's orient step). Treat
its stack facts as given; VERIFY its build/test commands against the real config
files before writing them anywhere as confirmed. If the profile says this repo is a
fork, separating OUR code from FROZEN upstream code is the single most important
output of this pass. If a humanContext block is present, use it:
developer.skillLevel/codebaseFamiliarity calibrate how conservative your
Stability guesses are; stack.kind tells you whether to map a frontend/backend
split; record branch/firstRunAt in PROJECT_OVERVIEW.md.
2. Absorb prior config (Process 2 repos only)
If repo-profile.json → maturity.process is 2, CLAUDE_bkp_*.md /
AGENTS_bkp_*.md exist at the repo root with the team's previous AI configuration.
Read them, extract KNOWLEDGE — not raw text — (build commands, conventions,
architecture notes, gotchas, module descriptions) and merge it into
ai/guide/CONVENTIONS.md, ai/guide/ARCHITECTURE.md, ai/guide/MODULE_MAP.md
(seed rows), and ai/guide/PROJECT_OVERVIEW.md. Tag every extract
[inferred — from prior config].
3. Explore cheaply, read-only
List the tree 2 levels deep, read build manifests (not source), scan the last ~30 commit subjects for active areas. Prefer grep + line counts over whole-file reads. Modify nothing in this step.
4. Fill MODULE_MAP
ai/guide/MODULE_MAP.md: one row per module/package — directory, a one-line
responsibility, the entry-point file, and a Stability GUESS. Use the ACTUAL names
you found; do not assume names. Each row has FIVE cells — Directory,
Responsibility, Entry point, Stability guess, Status — and the Status cell is
where the [inferred] tag goes (the tooling reads provenance from the LAST
cell only).
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.
- 7d ago First seen · 79 lines · 64 tokens per session scan A 6fb25c901950
cold-start is a skill published in the GitHub repository kunalsuri/ai-fication-kit (3 stars, last pushed 3d ago), licensed Apache-2.0. It adds 64 tokens to every session and 1,134 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 2026-08-31.
Other skills, from other repositories
close-my-loops
Build and maintain a personal work profile and open-loop tracker for the user's own job — a markdown file covering their org, key contacts, communication style, active initiatives, and open loops synthesized from their own email/Slack; a Cowork Project setup so that file is actually read every session; a scheduled…
agent-self-scheduling
Schedule AI agent runs with cron, loops, or external clocks while avoiding unsafe tight autonomous timers.
anti-sleep
Keep a Mac awake with caffeinate during long builds, downloads, or supervised automation runs.
accint-commitments
Triage acc's open promises and close them with honest real-world verdicts via accact(runtime="outcome").
gsd-surface
Toggle which skills are surfaced — apply a profile, list, or disable a cluster without reinstall.
peon-ping-toggle
Toggle peon-ping sound notifications on/off. Use when user wants to mute, unmute, pause, or resume peon sounds during a Claude Code session. Also handles config changes like volume, pack rotation, categories — any peon-ping setting.