session-state

session-state is a skill for Claude Code, Codex from danielvm-git/bigpowers. It costs 41 tokens per session (1,589 once invoked), scanned A, original, MIT.

A session record in `specs/state.yaml` that stores implementation decisions, progress, pending tasks, and open questions for the next coding session.

In plain words
What is it for?
Use it to load project context at session start and update the record after important decisions or milestones.
Why use it?
It reduces context loss when work continues later. It also stops work when the recorded state does not match the Git working tree.

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/danielvm-git/bigpowers/session-state
Any agent
npx skills add danielvm-git/bigpowers --skill session-state
Clone the repo
git clone --depth 1 https://github.com/danielvm-git/bigpowers

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-state

README.md
[![agentmods](https://agentmods.dev/badge/skills/danielvm-git/bigpowers/session-state.svg)](https://agentmods.dev/skills/danielvm-git/bigpowers/session-state)
Your own site
<a href="https://agentmods.dev/skills/danielvm-git/bigpowers/session-state"><img src="https://agentmods.dev/badge/skills/danielvm-git/bigpowers/session-state.svg" alt="Measured on agentmods" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,589 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00041 $0.01589
Opus 5 $0.00020 $0.00794
Sonnet 5 $0.00008 $0.00318
Haiku 4.5 $0.00004 $0.00159

Measured today against content hash 5c41823c636e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

session-state 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 today.

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.

.cline/skills/session-state/SKILL.md · 147 lines

How it starts

The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.

story: e45s23

Session State

HARD GATEHARD GATE — Session state must be synchronized with git state. If state.yaml conflicts with the working tree, halt and ask for clarification. Do NOT assume state is correct.

Track the current state of implementation, including decisions made, pending tasks, and open questions, to ensure continuity across session boundaries and prevent "context rot."

Session-state implements the isolate strategy from the context-engineering framework (docs/references/context-engineering.md): each agent gets exactly the context it needs — no more — by recording decisions so the next agent can cold-start without replaying history. The four strategies (write, select, compress, isolate) work together: session-state handles isolation, terse-mode handles compression, survey-context handles selection, and CONVENTIONS.md ensures token-efficient writing.

Goal

Maintain a single source of truth for the current session in specs/state.yaml. This complements long-term docs in specs/tech-architecture/ and delivery detail in specs/epics/ + specs/release-plan.yaml.

Legacy markdown (specs/archive/STATE.md, RELEASE-PLAN.md) is not SoT when YAML exists — use specs/state.yaml only.

When a story modifies existing behavior, patch only between matching marker pairs in CLAUDE.md / AGENTS.md learned-preferences fence — see e45s21.

Handoff block (cold start)

When ending a session or before a context-heavy spawn, update handoff in state.yaml:

handoff:
  last_step_completed: "e02s01 verify-work passed"
  open_decisions:
    - "Use folder mode for e07 (>5 stories)"
  required_reading:
    - CONVENTIONS.md
    - specs/epics/e02-verification/epic.yaml
  next_skill: develop-tdd

Strategic compaction

Trigger Action
Phase transition (Plan → Build → Verify) Compact handoff; archive verbose decisions to ADR
Context > 70% estimated Run terse-mode for status only; move detail to specs/
Before dispatch-agents wave state.yaml only channel between spawns

Read the full file on GitHub · 147 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. today First seen · 147 lines · 41 tokens per session scan A 5c41823c636e

Subscribe to this mod's changes

session-state is a skill published in the GitHub repository danielvm-git/bigpowers (163 stars, last pushed 3d ago), licensed MIT. It adds 41 tokens to every session and 1,589 once invoked, about $0.0002 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 2026-09-03.

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