session-status

session-status is a skill for Claude Code, Codex from WellApp-ai/Well. It costs 16 tokens per session (1,230 once invoked), scanned A, original, MIT.

A session-tracking format that adds breadcrumb navigation, elapsed-time targets, and simple flow metrics to agent responses. Takt time means the target time for completing a step; muda is a term for wasted effort.

In plain words
What is it for?
Use it to label responses, track progress through planning or implementation phases, and record session metrics for later review.
Why use it?
It makes the current phase, progress, and delays visible during longer agent sessions. This helps identify when work is moving normally, waiting, or taking too long.

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/wellapp-ai/well/session-status
Any agent
npx skills add WellApp-ai/Well --skill session-status
Clone the repo
git clone --depth 1 https://github.com/WellApp-ai/Well

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 session-status

README.md
[![agentmods](https://agentmods.dev/badge/skills/wellapp-ai/well/session-status.svg)](https://agentmods.dev/skills/wellapp-ai/well/session-status)
Your own site
<a href="https://agentmods.dev/skills/wellapp-ai/well/session-status"><img src="https://agentmods.dev/badge/skills/wellapp-ai/well/session-status.svg" alt="Measured on agentmods" height="20"></a>
Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,230 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 $0.00016 $0.01230
Opus 5 $0.00008 $0.00615
Sonnet 5 $0.00003 $0.00246
Haiku 4.5 $0.00002 $0.00123

Measured 5d ago against content hash 53988e1b8342, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

session-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 5d 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.

cursor-rules/skills/session-status/SKILL.md · 181 lines

How it starts

The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Session Status Skill

Generate consistent navigation breadcrumbs showing current position, takt time, and session metrics.

When to Use

  • At START of every Ask/Agent/Plan mode response
  • At END of every Ask/Agent/Plan mode response
  • When session metrics are needed for Session Journal sync

Phase 1: Gather State

Collect current session state:

Data Source
Feature name From init context or branch name
Current phase DIVERGE / CONVERGE / DEFINE / AGENT
Loop count Incremented on each user feedback cycle
Progress Validated items / total items
Duration Time since phase started
Status G (flow) / Y (waiting) / R (stopped)

Phase 2: Calculate Takt

Compare duration against targets from 03-shared.mdc:

Phase Target Warning Stop
DIVERGE (per loop) 15min 30min 60min
CONVERGE 20min 40min 90min
DEFINE 10min 20min 45min
Commit (each) 10min 20min 30min

Determine suffix:

  • Under target: (none)
  • Warning exceeded: !
  • Stop exceeded: !!

Phase 3: Format Header

Generate single-line breadcrumb:

Format: [STATUS] | [Feature] | [PHASE_PROGRESS] | L[N] | [X]/[Y] | [TIME]

Examples by phase:

  • DIVERGE: G | Collaboration | DIVERGE ###....... | L3 | 5/9 | 18m
  • CONVERGE: G | Collaboration | DIVERGE OK | CONVERGE ##.... | L1 | 22m
  • DEFINE: G | Collaboration | DIVERGE OK | CONVERGE OK | DEFINE ###.. | L2 | 35m
  • AGENT: G | Collaboration | AGENT | C2/5 | 45m
  • Warning: Y | Collaboration | DIVERGE ###....... | L3 | 5/9 | 32m!
  • Stopped: R | Collaboration | AGENT | JIDOKA STOP

Progress bar: 10 chars, # filled, . empty, proportional to completion.

Generate context-specific footer:

---
Next: [action prompt]

Dynamic prompts by context:

Context Footer Prompt
DIVERGE with DIG Provide OK/KO/DIG for: #4, #6, #7
Gate 1 passed All validated. Say "converge" to proceed.
Gate 2 Choose option: A / B / C
Gate 3 Approve phasing: OK / REORDER / SPLIT
AGENT Commit 2/5 in progress...
Jidoka stop Reply with A, B, C, or D
Autonomous Iteration 3/5...

Read the full file on GitHub · 181 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. 5d ago First seen · 181 lines · 16 tokens per session scan A 53988e1b8342

Subscribe to this mod's changes

session-status is a skill published in the GitHub repository WellApp-ai/Well (339 stars, last pushed 28d ago), licensed MIT. It adds 16 tokens to every session and 1,230 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.

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