status

status is a skill for Claude Code, Codex from fabriqaai/specs.md. It costs 19 tokens per session (5,552 once invoked), scanned A, original, MIT.

A project-status report for FIRE, a system that tracks goals, work items, and execution runs. It also checks that these records are internally consistent.

In plain words
What is it for?
Use it to review intents, work-item progress, active runs, and completion totals. It reports problems but does not fix them automatically.
Why use it?
It gives a factual view of what is planned, finished, or currently running, and can reveal mismatches in the project records before work continues.

Skill for Claude CodeCodex

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/fabriqaai/specs.md/status
Any agent
npx skills add fabriqaai/specs.md --skill status
Clone the repo
git clone --depth 1 https://github.com/fabriqaai/specs.md

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for status

README.md
[![agentmods](https://agentmods.dev/badge/skills/fabriqaai/specs.md/status.svg)](https://agentmods.dev/skills/fabriqaai/specs.md/status)
Your own site
<a href="https://agentmods.dev/skills/fabriqaai/specs.md/status"><img src="https://agentmods.dev/badge/skills/fabriqaai/specs.md/status.svg" alt="Measured on agentmods" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,552 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 5.1 $0.00019 $0.05552
Opus 5 $0.00010 $0.02776
Sonnet 5 $0.00004 $0.01110
Haiku 4.5 $0.00002 $0.00555

Measured 6d ago against content hash 739c72fd01a8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, 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 6d 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.

src/flows/fire/agents/orchestrator/skills/status/SKILL.md · 697 lines

How it starts

The opening of the file, as written. The whole thing — 697 lines — stays where its author put it; the contents beside it link to each section on GitHub.

<degrees_of_freedom> LOW — Report facts accurately. Never auto-fix without user confirmation. </degrees_of_freedom>

  **Project**: {project.name}
  **Workspace**: {workspace.type} / {workspace.structure}
  **Autonomy**: {workspace.autonomy_bias}
  **Version**: {project.fire_version}

  ## Intents

  {for each intent}
  ### {intent.title} [{intent.status}]

  | Work Item | Status | Complexity | Mode |
  |-----------|--------|------------|------|
  {for each work_item}
  | {title} | {status} | {complexity} | {mode} |
  {/for}

  {/for}

  ## Active Runs

  {if runs.active is array and has items}
  {for each active_run in runs.active}
  - **Run**: {active_run.id} | **Scope**: {active_run.scope}
  - **Current Item**: {active_run.current_item}
  - **Started**: {active_run.started}
  {/for}
  {else if active_run exists (legacy singular)}
  - **Run**: {active_run.id}
  - **Work Item**: {active_run.work_item}
  - **Started**: {active_run.started}
  {else}
  No active run.
  {/if}

  ## Quick Stats

  - Intents: {total_intents} ({completed_intents} completed)
  - Work Items: {total_work_items} ({completed_work_items} completed)
  - Runs: {total_runs} completed
</output>
<substep n="3a" title="Scan Intents">
  <action>Glob: .specs-fire/intents/*/brief.md</action>
  <action>Extract intent IDs from directory names</action>
  <action>Store as: intents_on_disk[]</action>
</substep>

<substep n="3b" title="Scan Work Items">
  <action>Glob: .specs-fire/intents/*/work-items/*.md</action>
  <action>Exclude design docs (*-design.md)</action>
  <action>Extract work item IDs and parent intents</action>
  <action>Store as: work_items_on_disk[]</action>
</substep>

<substep n="3c" title="Scan Runs">
  <action>Glob: .specs-fire/runs/run-*/run.md</action>
  <action>Extract run IDs from directory names</action>
  <action>For each run, check which artifacts exist:</action>
  <substep>plan.md, test-report.md, review-report.md, walkthrough.md</substep>
  <action>Store as: runs_on_disk[] with artifact_flags</action>
</substep>

Read the full file on GitHub · 697 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. 6d ago First seen · 697 lines · 19 tokens per session scan A 739c72fd01a8

Subscribe to this mod's changes

status is a skill published in the GitHub repository fabriqaai/specs.md (206 stars, last pushed 13d ago), licensed MIT. It adds 19 tokens to every session and 5,552 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.

Related

Other skills, from other repositories

acceptance-orchestrator-v2

Acceptance Orchestrator workflow skill. Use this skill when the user needs a coding task should be driven end-to-end from issue intake through implementation, review, deployment, and acceptance verification with minimal human re-intervention and the operator should preserve the upstream workflow, copied support files…

diegosouzapw/awesome-omni-skills · 71 tokens

acceptance-orchestrator

Acceptance Orchestrator workflow skill. Use this skill when the user needs a coding task should be driven end-to-end from issue intake through implementation, review, deployment, and acceptance verification with minimal human re-intervention and the operator should preserve the upstream workflow, copied support files…

diegosouzapw/awesome-omni-skills · 69 tokens

sparc-methodology

SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration.

ruvnet/RuView · 29 tokens

swarm-advanced

Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows.

ruvnet/RuView · 21 tokens

agent-harness-fault-injection

Use when an agent workflow needs deterministic recovery evidence for sandbox, MCP/tool, worker, checkpoint, memory, or orchestration failures.

sickn33/agentic-awesome-skills · 34 tokens

agenttrace-session-audit

Audit local AI coding-agent sessions with agenttrace for cost, tool failures, latency, anomalies, health, diffs, and CI gates.

sickn33/agentic-awesome-skills · 34 tokens