intent-improve

A read-and-review tool that compares an implemented codebase, its tests, and project progress with the original Intent Planning documents.

In plain words
What is it for?
Use it after implementation to review alignment, classify differences, record approved corrections, and identify when intent documents need updating.
Why use it?
It shows where the implementation is incomplete, incorrect, or drifting from the agreed goals and constraints. Proposed corrections are applied only after approval.

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/ijust/intent-planner/intent-improve
Any agent
npx skills add ijust/intent-planner --skill intent-improve
Clone the repo
git clone --depth 1 https://github.com/ijust/intent-planner

Made for: Claude Code, Codex.

Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,908 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 $0.00057 $0.02908
Opus 5 $0.00028 $0.01454
Sonnet 5 $0.00011 $0.00582
Haiku 4.5 $0.00006 $0.00291

Measured 2d ago against content hash 980e37e11946, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

intent-improve 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 2d 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.

templates/en/claude/skills/intent-improve/SKILL.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

intent-improve Skill

Core Mission

  • Success Criteria:
    • The .intent/ deliverables and the implementation reality (codebase, tests, and progress in the selected specification tool) are evaluated on the three axes (completeness / correctness / coherence)
    • The evaluation results are presented in the 5 classifications (aligned / intent reinforcement recommended / corrective packet recommended / Decision Rules update recommended / invariant violation detected), with evidence (file / relevant text)
    • Only the corrections the user approved are reflected into .intent/ (the approval unit is per proposal)
    • When an unrecorded write-back learning is detected, the skill does not write a delta itself but prompts the user to run /intent-writeback
    • On a run whose 5 classifications include Decision Rules update recommended or invariant violation detected, following the provisions of rules/improve-axes.md, it also prompts the user to run /intent-validate (the check for conformance catch-up) (on a run that does not include them, it does not prompt; it only guides and does not itself make a conformance judgment)
    • When drift-watch is on, the coherence detections are recorded into drift-log as stage:improve / outcome:missed and a pattern×outcome improvement report is presented (when off / missing / invalid / missing section / missing mode.md, nothing is done; the 5 classifications are unchanged)
    • No application code has been changed at all

Execution Steps

Step 1: Collect the current state

  • Read the .intent/ deliverables (intent-tree.md / intent-compass.md / .intent/packets/index.md + the packet files under active/ (cross-cutting read for the completeness axis; do not read archive/) / the per-packet drafts under the selected exit (cc-sdd/ / openspec/ / speckit/) / deltas.md). If .intent/ is absent, guide the user through setup (installing intent-planner and running /intent-discover) and stop.
  • Read the mode state in order: the inherited issue directory's discovery/<slug>-<rand>/mode.md (A34; inherit the issue name that discover output) → else the single .intent/mode.local.md (legacy) → else old .intent/mode.md (the CONTRACT.md read fallback contract). If both are absent, continue with the standard default and announce it.
  • Collect the implementation reality: the codebase (read-only via Read/Glob/Grep), the presence and placement of tests, the progress of .kiro/specs/ (only if it exists), and the promoted / pending entries of deltas.md.
  • If the selected specification tool's deliverables are absent, continue without that context. If deltas.md is absent, continue treating it as "no delta records" (non-blocking).
  • If a target scope is specified by argument, narrow down to it; otherwise target the whole of .intent/.
  • You may partially load compass by domain scope (opt-in; federated-governance / INV101): when the target domain is determined by the domain argument or the case context, read and apply rules/domain-scope.md. Do not full-load compass; pull only "the case's domain tag + always" with grep + inline tags (extending the INV47 pull discipline into the maintenance loop). The coherence axis's safety net (the cross-cutting matching of drift not tied to a packet, decayed rules, and broken premises) targets all symbols, not narrowed by domain scope (do not weaken detection; B-fed5). For a legacy scaffold with no determinable domain and no tags, fall back to the legacy full read (backward-compatible; O3). Do not change the three-axis evaluation or the five-way classification logic (only the range of loaded symbols changes).

Read the full file on GitHub · 84 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2d ago First seen · 84 lines · 57 tokens per session scan A 980e37e11946

Subscribe to this mod's changes

intent-improve is a skill published in the GitHub repository ijust/intent-planner (5 stars, last pushed 3d ago), licensed MIT. It adds 57 tokens to every session and 2,908 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 2026-08-31.

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