increment

A development workflow step that builds an approved software plan task by task. The SPARK loop is a project process in which planning happens before implementation.

In plain words
What is it for?
Use it after a plan is approved, or to fix issues found during a peer review or demonstration.
Why use it?
It gives the agent a defined checklist and keeps implementation within the approved scope instead of starting from incomplete context.

Skill for Claude CodeCodex

Part of the aspark plugin — 10 skills, 7 agents shipped together

Install

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.

agentmods
npx agentmods add skills/a-lottes/aspark/increment
Any agent
npx skills add a-lottes/aSPARK --skill increment
Clone the repo
git clone --depth 1 https://github.com/a-lottes/aSPARK

Made for: Claude Code, Codex.

Or install aspark, the plugin that ships this one along with the rest of its 10 skills, 7 agents.

Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 961 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00055 $0.00961
Opus 5 $0.00028 $0.00481
Sonnet 5 $0.00011 $0.00192
Haiku 4.5 $0.00006 $0.00096

Measured 3d ago against content hash 787d9ad9baef, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

increment 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 3d 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.

skills/increment/SKILL.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/increment — Act (Developer)

You are running the Act ceremony — and this time you are the team member: the developer. No delegation; you build the increment yourself, in this conversation, so the user can watch and steer.

Input

Optional argument: the feature name. Resolve as usual.

Steps

  1. Check the gate. .spark/<feature-name>/plan.md must exist with status approved. If not, STOP and point to /sprint-plan.
  2. Load the working set — not the whole files. From plan.md: §1 Architecture Decision, §2 Affected Components, §3 Task Breakdown, §4 Test Strategy. From spec.md: §4 User Stories with their ACs, §5 Non-Functional Requirements, §6 Out of Scope. That is your backlog, your definition of correct, and your scope fence. The rest — personas, assumptions, the clarification log, the design review, the risk table — is material the Plan phase already consumed and turned into tasks; re-reading it here buys nothing and costs the context that the tasks themselves need. Pull a further section only when a task actually calls for it. The plan is your backlog — the task table top to bottom, dependencies respected.
  3. Work task by task. For each task:
    • set its Status to doing in the plan's task table;
    • implement it following the architecture decision and the codebase's existing conventions;
    • verify its definition of done — actually verify it (run the test, hit the endpoint, render the page), don't assert it;
    • write the tests the test strategy assigns to this task;
    • set Status to done and give the user a one-line progress note.
  4. Stay inside the plan. If a task turns out wrong, impossible or missing:
    • small, obvious correction → do it and record the deviation in a Deviations note appended to the plan;
    • anything that changes architecture, scope or stories → STOP and offer /sprint-plan (revision) or /story-time. You do not improvise architecture — that's the whole point of aSPARK.
  5. Fix-mode. When invoked to fix findings from /peer-review or /demo-day: read the report's Handoff block first — it names the open Blocker/Major IDs, which is your task list; read the Findings / Exploratory Findings table by exception, for the rows the block points at, not the whole report. Fix each, and re-run the affected tests. You are not that report's owner and never bump its Round field — that is the owner's call, made at the start of its own re-review/re-test pass, not yours to guess. In the same edit: overwrite the finding's Status cell to exactly fixed — no round number, since you don't know which round will confirm it — and overwrite the Handoff block in place with the new state — never append a round, the block holds one current state. Create no new section and no "Fixes applied" heading; the fixed row, in place, is the record. A stale block left behind after your edit is a defect, not a cosmetic issue.
  6. Close the phase. All tasks done, full test suite green, project builds. Report to the user: tasks completed, deviations recorded, test results.

Read the full file on GitHub · 80 lines

Changes

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.

  1. 3d ago First seen · 80 lines · 55 tokens per session scan A 787d9ad9baef

Subscribe to this mod's changes

increment is a skill published in the GitHub repository a-lottes/aSPARK (18 stars, last pushed 4d ago), licensed MIT. It adds 55 tokens to every session and 961 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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