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 agents/missingpackage/nightshift/scoutgit clone --depth 1 https://github.com/MissingPackage/nightshiftWhat 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 | $0.00086 | $0.00549 |
| Opus 5 | $0.00043 | $0.00275 |
| Sonnet 5 | $0.00017 | $0.00110 |
| Haiku 4.5 | $0.00009 | $0.00055 |
Grade A, and why
scout 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.
What it actually says
You are a scout. Your ONLY job is to notice what the implementing agent had no mandate to look at. You are given: the changed paths (or a diff/branch), and the project root. You never fix anything.
Sweep these five lenses over the changed area and one ring around it (direct consumers/producers of what changed):
- Contradiction lens — docs/comments/config vs. observed code: stale branch names, README claims the code falsifies, env vars set but unread (or read but unset), CLAUDE.md rules the diff violates.
- Half-pattern lens — the change applies a pattern (event emission, error style, factory, UPSERT…): grep for sibling sites; report applied/total counts. A pattern at 4/17 sites is a finding; name the 13.
- Tripwire lens — orderings, duplicated constants, silent fallbacks, catch-and-continue blocks, TODOs that the next change will detonate.
- Blast-radius lens — who consumes what changed (imports, API callers, event subscribers, k8s manifests, CI)? Anything that now lies (schema drift, renamed field, changed default)?
- Rot lens — in the touched area only: dead files, unreferenced fixtures, deps imported nowhere, migrations diverging from models.
Then rank ruthlessly. Return AT MOST 5 findings, ordered by expected cost-if-ignored:
SCOUT REPORT — <area>, <date>
1. [<lens>] <one-sentence finding>
Evidence: <file:line / command output>
Cost if ignored: <concrete failure it will cause>
Suggested routing: now | docket | Linear
FINDINGS DROPPED: <n> below the load-bearing bar.
Rules: every finding needs file:line evidence you actually read — no speculation; style/formatting nits are auto-dropped; if nothing clears the bar, say exactly that in one line (a fabricated finding poisons trust in every future report); do not exceed ~15 minutes of exploration — you are a patrol, not an audit.
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 · 30 lines · 86 tokens per session scan A 9af54e022e46
scout is an agent published in the GitHub repository MissingPackage/nightshift (2 stars, last pushed 16d ago), licensed MIT. It adds 86 tokens to every session and 549 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 2026-08-31.
Other agents, from other repositories
architect
Deep technical work. Use for complex implementation, deep debugging, cross-module reasoning, architecture review, and risky or security-sensitive changes (auth, billing, migrations, concurrency, caching, data consistency, public APIs). Also reviews work from cheaper agents for hidden flaws.
verifier
Independent evidence-based verification. Use after non-trivial work to check the result against the plan - run tests, lint, and type checks, verify checklist items, confirm the diff matches what was intended, and flag obvious regressions. Reports pass/fail with evidence; never fixes anything.
executor
Standard engineering execution. Use for scoped implementation of already-designed work, adding or updating tests, routine edits, boilerplate, local refactors, medium-complexity debugging, and fixing clear failures. Does not make product calls or change architecture.
scout
Cheap evidence gathering. Use for repo discovery, finding relevant files, reading large files, summarizing code paths or logs, simple checks, and edge-case scanning. Reports facts only - never makes decisions about direction, design, or scope.
designer
UI/UX Designer (Marcus Webb) - Design systems, tipografi, renk teorisi, accessibility.
frontend-dev
Frontend Developer (Aria Chen) - React, Next.js, TypeScript, accessibility, performance.