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 proyecto26/system-design-skills --skill sequencergit clone --depth 1 https://github.com/proyecto26/system-design-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/proyecto26/system-design-skills/sequencer)<a href="https://agentmods.dev/skills/proyecto26/system-design-skills/sequencer"><img src="https://agentmods.dev/badge/skills/proyecto26/system-design-skills/sequencer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/proyecto26/system-design-skills/sequencer"><img src="https://agentmods.dev/badge/skills/proyecto26/system-design-skills/sequencer.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00122 | $0.02895 |
| Opus 5.5 | $0.00049 | $0.01158 |
| Sonnet 5.5 | $0.00024 | $0.00579 |
| Haiku 4.5 | $0.00012 | $0.00290 |
Grade A, and why
sequencer 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 1mo 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 — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sequencer
Hand out identifiers that are unique across every node without a central bottleneck — and decide whether those IDs must also be sortable or monotonic. Getting this wrong shows up late and hard: collisions corrupt data, a single allocator caps write throughput, and IDs that leak a creation time or a sequential count expose business secrets and enable enumeration attacks.
When to reach for this
A system writes new records across multiple nodes and each needs a primary key (orders, messages, uploads, events). Reach for this when a single auto-increment column would serialize all writes, when IDs must be generated before a DB round trip (client-side, offline), or when records must be roughly time-ordered without a separate sort field.
When NOT to
A single relational node still comfortably serves the write load (→
back-of-the-envelope) — then a plain BIGINT AUTO_INCREMENT/SERIAL is the
cheapest correct answer; do not build a distributed ID service for it (YAGNI).
If a natural unique key already exists (email, ISBN, content hash), use it. Don't
demand global monotonicity unless an invariant truly needs it — it is the most
expensive property here and usually only per-entity ordering is required.
Clarify first
- Generation point — client/edge, app server, or database? (Decides whether a DB round trip per ID is acceptable.)
- Ordering need — none, time-sortable (k-sorted is fine), or strictly monotonic? Per-entity or global? This is the single biggest fork.
- Write rate & node count — IDs/sec at peak and how many generators (→
back-of-the-envelope). Sets the bits needed for a sequence counter. - Size & encoding budget — 64-bit int (fits an indexed key cheaply) vs 128-bit (no coordination ever) vs short URL-safe string?
- Leakage tolerance — may the ID reveal creation time or a guessable count (enumeration / competitor signal)?
The options
- Auto-increment / SQL sequence — one DB column hands out IDs. Use when a single node owns the writes and you want zero new infrastructure.
- UUIDv4 (random 128-bit) — generate anywhere, no coordination, effectively zero collision risk. Use when you only need uniqueness and never sort by ID.
- ULID / UUIDv7 (time-prefixed 128-bit) — random but with a millisecond timestamp prefix, so IDs sort by creation time. Use when you want UUIDv4's zero-coordination and time-ordering (the modern default for new keys).
- Snowflake-style (timestamp + node + sequence, 64-bit) — pack a timestamp, a node ID, and a per-ms counter into a sortable 64-bit int. Use at high write rates where a compact, k-sorted integer key matters.
- DB ticket / range allocation (Flickr-style) — a central table hands out blocks of IDs (e.g. 1000 at a time); each node serves from its block in memory. Use when you want simple monotonic-ish integers without per-ID coordination.
What ships with it
4 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.
- 1mo ago First seen · 188 lines · 122 tokens per session scan A f8c4209748e4
sequencer is a skill published in the GitHub repository proyecto26/system-design-skills (94 stars, last pushed 4mo ago), licensed MIT. It adds 122 tokens to every session and 2,895 once invoked, about $0.0005 per session on Opus 5.5. 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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api-design
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phoenix-contexts
Phoenix context design — creating/splitting contexts, Scope (1.8+), Ecto.Multi, PubSub, routers, plugs, controllers. Use when editing contexts, routers, or designing boundaries.
laravel-scout
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