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/archive228/loopkit/feature-list-jsonnpx skills add Archive228/loopkit --skill feature-list-jsongit clone --depth 1 https://github.com/Archive228/loopkitWhat 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 | $0.00050 | $0.01142 |
| Opus 5 | $0.00025 | $0.00571 |
| Sonnet 5 | $0.00010 | $0.00228 |
| Haiku 4.5 | $0.00005 | $0.00114 |
Grade A, and why
feature-list-json 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 2d 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
feature_list.json
The ledger of every feature the product will eventually have. Fresh-context sessions read it to pick work; they flip exactly one boolean when done. JSON, not Markdown — the syntactic strictness is load-bearing. Prose gets edited freely; data gets edited carefully.
Format per entry:
{
"category": "functional",
"description": "New chat button creates a fresh conversation",
"steps": [
"Navigate to main interface",
"Click the 'New Chat' button",
"Verify a new conversation is created",
"Check that chat area shows welcome state",
"Verify conversation appears in sidebar"
],
"passes": false
}
Categories: functional, ux, data, infra. Order the array in implementation order — the top is the next thing to build.
When to apply
- Initializer agent at scaffold time: produce the full list, every entry
passes: false. Aim for breadth — 200 well-scoped entries beats 30 vague ones. - Coding agent at end of session: after end-to-end verification, flip exactly one
passesfromfalsetotrue. - Any session at start:
jq '[.[] | select(.passes==false)] | length'to see remaining work; pick the topmost unblocked entry.
Procedure — initializer
- Enumerate every user-observable behavior the spec implies. Login, list rendering, empty states, error states, keyboard shortcuts, mobile layout — all of it.
- Write each as one entry.
descriptionis one sentence,stepsis a user's actual action sequence (not implementation notes). - Order the array so an agent walking top-to-bottom builds prerequisites before dependents.
- Every
passesstartsfalse. No exceptions, not even for the smoke test. - Validate:
jq '. | length'returns your count;jq '[.[] | select(.passes==true)] | length'returns 0.
Procedure — coding agent
- Read the file. Do not edit yet.
- Pick the topmost entry with
passes: falseand satisfied prerequisites. If the top is blocked, drop to the deepest unblocked entry. - Implement. Test. Verify end-to-end via the runtime path (browser automation, HTTP, CLI) — not unit tests alone. See [[broken-window-check]] for what E2E means.
- Only after E2E green: flip that single entry's
passestotrue. - Diff the file. The diff must be exactly one
false→true. Nothing else.
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.
- 2d ago First seen · 81 lines · 50 tokens per session scan A 1edc10db5d33
feature-list-json is a skill published in the GitHub repository Archive228/loopkit (753 stars, last pushed 1mo ago), licensed MIT. It adds 50 tokens to every session and 1,142 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.
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