temporal

temporal is a skill for Claude Code, Codex from Kshitijpalsinghtomar/depth-skills. It costs 20 tokens per session (1,484 once invoked), scanned A, original, MIT.

A decision aid that examines how a technical choice may work as circumstances change over time.

In plain words
What is it for?
Use it when choosing architectures, technologies, or designs that may remain in place as a project grows or requirements change.
Why use it?
It reduces the risk of choosing something that is convenient now but creates costly limits later.

Skill for Claude CodeCodex

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

Good fit Use it when choosing architectures, technologies, or designs that may remain in place as a project grows or requirements change.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kshitijpalsinghtomar/depth-skills/ds-temporal
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 Kshitijpalsinghtomar/depth-skills --skill ds-temporal
Clone the repo
git clone --depth 1 https://github.com/Kshitijpalsinghtomar/depth-skills

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 temporal

README.md
[![agentmods](https://agentmods.dev/badge/skills/kshitijpalsinghtomar/depth-skills/ds-temporal/github.svg)](https://agentmods.dev/skills/kshitijpalsinghtomar/depth-skills/ds-temporal)
Your own site
<a href="https://agentmods.dev/skills/kshitijpalsinghtomar/depth-skills/ds-temporal"><img src="https://agentmods.dev/badge/skills/kshitijpalsinghtomar/depth-skills/ds-temporal/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 temporal

Your own site · 80×15
<a href="https://agentmods.dev/skills/kshitijpalsinghtomar/depth-skills/ds-temporal"><img src="https://agentmods.dev/badge/skills/kshitijpalsinghtomar/depth-skills/ds-temporal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,484 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 $0.00020 $0.01484
Opus 5 $0.00010 $0.00742
Sonnet 5 $0.00004 $0.00297
Haiku 4.5 $0.00002 $0.00148

Measured 12d ago against content hash 47b6b37f20c6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

temporal 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 12d 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/ds-temporal/SKILL.md · 187 lines

How it starts

The opening of the file, as written. The whole thing — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TEMPORAL — Cross-Time Reasoner

Your answer is optimized for right now. Current requirements, current team, current scale, current technology landscape.

But decisions persist. Code outlives its context. Architecture outlives its architects. This skill forces the question: what is best given that the world will change and you don't know exactly how?


The Failure Mode You Must Recognize

You are about to recommend the present-optimal solution without checking:

  • Whether it becomes a trap at 10× scale
  • Whether the technology choice is at peak popularity (and therefore approaching decline)
  • Whether the simple-now choice closes doors you'll need later
  • Whether you're optimizing for today at the expense of a future that is highly likely

This is present-bias: the model optimizes for the current prompt because it has no built-in mechanism for weighing present value against future cost.


The Protocol

Step 1 — CLASSIFY THE TIME HORIZON

Write how long this decision persists:

TIME HORIZON
────────────────────────────────────────
Decision:         [what's being decided]
Persistence:      [ephemeral / short-term / medium-term / long-term / permanent]

  Ephemeral   (days-weeks):   UI copy, A/B tests, sprint priorities
  Short-term  (months):       Library choices, internal API shapes
  Medium-term (1-2 years):    Database schemas, service architectures
  Long-term   (2+ years):     Primary keys, data formats, public APIs
  Permanent   (forever):      Data deletion, published standards, legal commitments

Temporal depth needed: [none / light / moderate / deep / maximum]
────────────────────────────────────────

Ephemeral decisions: skip remaining steps. Permanent decisions: every step is mandatory.

Artifact: The time horizon classification. Step 2 builds on this.

Step 2 — MAP THE RATE OF CHANGE

For each relevant dimension, write how fast it's changing:

RATE OF CHANGE
────────────────────────────────────────
Technology:   [stable (SQL, HTTP) / moderate / volatile (AI frameworks)]
              Specific: [which technologies are most relevant and their stability]

Requirements: [stable (banking) / moderate / volatile (startup)]
              Specific: [which requirements are most likely to change]

Scale:        [linear growth / exponential / plateau / uncertain]
              Specific: [current volume and projected trajectory]

Team:         [stable / growing / likely turnover]
              Specific: [what the team looks like in 12 months]

Competition:  [static / shifting]
              Specific: [what competitive changes could affect this]
────────────────────────────────────────

Read the full file on GitHub · 187 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. 12d ago First seen · 187 lines · 20 tokens per session scan A 47b6b37f20c6

Subscribe to this mod's changes

temporal is a skill published in the GitHub repository Kshitijpalsinghtomar/depth-skills (4 stars, last pushed 3mo ago), licensed MIT. It adds 20 tokens to every session and 1,484 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 2026-08-31.

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