deliver

deliver is a skill for Claude Code, Codex from AcKeskin/contexture. It costs 52 tokens per session (1,590 once invoked), scanned A, original, MIT.

A formatting helper that assembles selected project notes and codebase context into the form an AI assistant reads. It is used by other tools rather than directly by a user.

In plain words
What is it for?
Presenting stored decisions, lessons, preferences, and codebase fragments during discovery, preparation, planning, review, or retrospectives.
Why use it?
It keeps retrieved information organized and within a defined size limit, so the assistant receives the relevant material in a consistent format.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Presenting stored decisions, lessons, preferences, and codebase fragments during discovery, preparation, planning, review, or retrospectives.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ackeskin/contexture/deliver
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.

Any agent
npx skills add AcKeskin/contexture --skill deliver
Clone the repo
git clone --depth 1 https://github.com/AcKeskin/contexture

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 deliver

README.md
[![agentmods](https://agentmods.dev/badge/skills/ackeskin/contexture/deliver/github.svg)](https://agentmods.dev/skills/ackeskin/contexture/deliver)
Your own site
<a href="https://agentmods.dev/skills/ackeskin/contexture/deliver"><img src="https://agentmods.dev/badge/skills/ackeskin/contexture/deliver/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for deliver

Your own site · 80×15
<a href="https://agentmods.dev/skills/ackeskin/contexture/deliver"><img src="https://agentmods.dev/badge/skills/ackeskin/contexture/deliver.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,590 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00052 $0.01590
Opus 5.5 $0.00021 $0.00636
Sonnet 5.5 $0.00010 $0.00318
Haiku 4.5 $0.00005 $0.00159

Measured 1mo ago against content hash ff66562182f2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

deliver 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 1mo 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.

skills/deliver/SKILL.md · 130 lines

How it starts

The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.

deliver

The delivery organ. Takes an already-selected set of fragments and produces the rendered block Claude reads.

When to run

  • Another skill invokes this one programmatically, passing a fragment selection it has already filtered and scored (discovery for bodies, prep at task start, review during diff inspection, plan at milestone boundaries).
  • Do not respond to user prose triggers. There is no /deliver command. There is no "when user says X" branch. Delivery is purely a format-and-assembly helper.
  • Stateless per call. No memoization, no cache, no hidden state.

Inputs

Structured, from the caller:

{
  fragments: Fragment[],        // already-selected; delivery does not re-filter
  order_override?: Order,       // optional; default = the §2 tier priority
  cap?: number,                 // optional; default 20; hard ceiling regardless of caller
}

Fragment = {
  path: string,                 // repo-relative or ~/-relative; source-of-truth pointer
  frontmatter: {                // parsed YAML
    name: string,
    description?: string,
    type?: string,
    kind?: string,              // "architectural-rule" | "decision" | "lesson" | "preference" | ...
    scope?: string[],
    relevance?: string,
  },
  body: string,                 // verbatim content — delivery does not paraphrase
}

Order = "default" | "caller" | explicit-tier-list

Procedure

1. Validate inputs

  • fragments present and non-empty. Empty → return empty string and a single-line note ([delivery: empty selection]). Never synthesise content.
  • Each fragment has path, frontmatter.name, body. Missing path or name → render with the available fields, emit a [delivery: fragment missing <field>] marker inline so the caller notices.
  • cap bounded to [1, 20]. Caller-specified values outside this range are clamped; flag the clamp in the report line.

2. Sort

Default priority (highest tier first):

  1. Warnings — frontmatter.kind == "warning". Landmines that earned their place by citing a real prior incident; surface ahead of everything because the cost of forgetting one is concrete.
  2. Architectural rules — frontmatter.kind == "architectural-rule".
  3. Project-specific facts — frontmatter.type == "project" OR frontmatter.scope contains any project-* tag.
  4. Session recaps — frontmatter.type == "session-recap". Episodic recall sits below project facts but above codemap, because "what I was investigating" gives more signal than raw file summaries when resuming work.
  5. Codemap entries — fragments where frontmatter.kind == "codemap" or frontmatter.type == "codemap". (Discovery surfaces these when .claude/codemap.md contributes.)
  6. Everything else — lessons, decisions, preferences, references, general feedback.

Read the full file on GitHub · 130 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. 1mo ago First seen · 130 lines · 52 tokens per session scan A ff66562182f2

Subscribe to this mod's changes

deliver is a skill published in the GitHub repository AcKeskin/contexture (2 stars, last pushed 2mo ago), licensed MIT. It adds 52 tokens to every session and 1,590 once invoked, about $0.0002 per session on Opus 5.5. 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.