agentmods.dev

status

A sprint dashboard that summarizes current claims, supporting evidence, disagreements, warnings, and suggested next steps. A sprint is a focused period of work on a set of decisions or tasks.

In plain words
What is it for?
Use it to review sprint progress, find conflicting or unsupported claims, and decide whether to research, challenge, resolve, or summarize them.
Why use it?
It replaces scattered checks with one view of what is known, disputed, weakly supported, or ready to report.

Skill for Claude CodeCodex

87 4mo ago A scan 20 tokens original MIT
View the source file grainulation/grainulator
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/grainulation/grainulator/status
Any agent
npx skills add grainulation/grainulator --skill status
Clone the repo
git clone --depth 1 https://github.com/grainulation/grainulator

Made for: Claude Code, Codex.

Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 372 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 $0.00020 $0.00372
Opus 5 $0.00010 $0.00186
Sonnet 5 $0.00004 $0.00074
Haiku 4.5 $0.00002 $0.00037

Measured yesterday against content hash ac41c57b72f4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

status 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.

skills/status/SKILL.md · 49 lines

What it actually says

/status -- Sprint dashboard

The user wants to see the current state of the active sprint.

Arguments

$ARGUMENTS

Instructions

  1. Run wheat_status to get the sprint snapshot.

  2. Run wheat_compile to check for conflicts and warnings.

  3. Display the dashboard:

    Sprint: <slug>
Phase: <phase> | Claims: <total> active, <conflicted> conflicted
Topics: <list with claim counts>

Evidence tiers:
  stated: <n>  |  web: <n>  |  documented: <n>  |  tested: <n>  |  production: <n>

Claim types:
  constraint: <n>  |  factual: <n>  |  estimate: <n>  |  risk: <n>  |  recommendation: <n>

Conflicts: <list or "none">
Warnings: <list or "none">

  4. Suggest next steps based on the decision tree:

    • Unresolved conflicts -> /resolve
    • Claims with no corroboration -> /witness <id> <url>
    • Weak evidence tiers -> /research <topic> or /witness
    • Type monoculture -> /challenge <id>
    • Late-phase with gaps -> /blind-spot
    • Ready for output -> /brief
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. yesterday First seen · 49 lines · 20 tokens per session scan A ac41c57b72f4

Subscribe to this mod's changes

status is a skill published in the GitHub repository grainulation/grainulator (87 stars, last pushed 4mo ago), licensed MIT. It adds 20 tokens to every session and 372 once invoked, about $0.0001 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.

Analytics and metricsCode reviewProject managementclaudeclaude-aiclaude-codeclaude-code-plugincompilercompiler-frontend
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