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/white1024/agent-nextup/align-scopenpx skills add white1024/agent-nextup --skill align-scopegit clone --depth 1 https://github.com/white1024/agent-nextupWhat 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 | $0.00061 | $0.00749 |
| Opus 5 | $0.00030 | $0.00375 |
| Sonnet 5 | $0.00012 | $0.00150 |
| Haiku 4.5 | $0.00006 | $0.00075 |
Grade A, and why
align-scope 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 yesterday.
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 — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
align-scope — settle the scope before building
Goal: when the work starts, there is nothing left that "we will figure out later" — and every assumption behind it is either verified or written down as an assumption.
Use it when the ask is broad ("make the reporting better"), when two readings of the request would lead to materially different work, or when the cost of building the wrong thing is high. Skip it when the next step is obvious — an alignment ritual on a one-line fix is just friction.
1. Separate what you can find out from what only the human knows
Before asking anything, split the unknowns into two piles:
- Findable: the answer exists in the code, the files, the history, or the environment. Go and read it. Never spend a question on something you could have looked up — it wastes the human's attention and it teaches them that answering you is cheap for you and expensive for them.
- Human-only: priorities, trade-offs, what "good" means here, what happens to whoever uses this, what the deadline really is. These are the questions worth asking.
Say what you found before you ask. "The task files already carry a priority field, so ordering is possible today — the question is whether…" is a better question than "how should tasks be ordered?"
2. Ask one question at a time
A list of six questions gets one answer to the easiest one. Ask the single highest-leverage question, wait, then let the answer reshape what you ask next — half the remaining questions usually dissolve.
Highest-leverage means: the answer that changes the most about what gets built. Ask that one first, not the one that is easiest to phrase.
Where the answer is a choice between a few concrete options, present the options and say which one you would pick and why. "Either A or B, and I would take A because X" is easier to answer than an open question, and it puts your reasoning where it can be corrected.
3. Name the trade-off, do not hide it
If an option is cheaper now and costlier later, say so in the same sentence as the option. If you think the request has a problem, say it in a sentence or two — then keep going with the work as asked unless the human changes it. The decision is theirs; the honesty about consequences is yours.
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.
- yesterday First seen · 44 lines · 61 tokens per session scan A 453a138b2924
align-scope is a skill published in the GitHub repository white1024/agent-nextup (2 stars, last pushed 20d ago), licensed MIT. It adds 61 tokens to every session and 749 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.
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