algorithm-pseudocode-design

A method for planning a complex algorithm in plain, language-independent steps before writing code. It focuses on logic, correctness, data structures, and running time.

In plain words
What is it for?
Use it for concurrency, rate limiting, cache eviction, ranking, scoring, or other logic where correctness and efficiency matter. It is unnecessary for simple CRUD or routine plumbing.
Why use it?
It catches problems such as incorrect control flow, off-by-one errors, and slow approaches before they become harder to fix in code.

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/getappz/agentflare/algorithm-pseudocode-design
Any agent
npx skills add getappz/agentflare --skill algorithm-pseudocode-design
Clone the repo
git clone --depth 1 https://github.com/getappz/agentflare

Made for: Claude Code, Codex.

Per session 107 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,074 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 $0.00107 $0.01074
Opus 5 $0.00053 $0.00537
Sonnet 5 $0.00021 $0.00215
Haiku 4.5 $0.00011 $0.00107

Measured yesterday against content hash 8dbbe68edcfa, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

algorithm-pseudocode-design 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 yesterday.

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.

.claude/skills/algorithm-pseudocode-design/SKILL.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Algorithm & Pseudocode Design

Design the algorithm before committing to a language's syntax. Pseudocode forces you to separate "what is the logic" from "how does this language express it" — bugs found at this stage are far cheaper than bugs found after a full implementation.

When to use

  • The algorithm is non-trivial: non-obvious data structure choice, tricky control flow, concurrency, or a correctness property that's easy to get subtly wrong (rate limiting, cache eviction, ranking/scoring).
  • Complexity matters and hasn't been thought through yet — "this might be O(n²) on the hot path" is worth catching on paper.
  • Skip for code that's a direct, obvious translation of the requirement (simple CRUD, straightforward glue/plumbing) — pseudocode adds no value there.

Structure and syntax

Keep it language-agnostic — no language-specific syntax, so the logic reads the same regardless of what it'll be implemented in:

ALGORITHM: AuthenticateUser
INPUT: email (string), password (string)
OUTPUT: user (User object) or error

BEGIN
    IF email is empty OR password is empty THEN
        RETURN error("Invalid credentials")
    END IF

    user ← Database.findUserByEmail(email)
    IF user is null THEN
        RETURN error("User not found")
    END IF

    isValid ← PasswordHasher.verify(password, user.passwordHash)
    IF NOT isValid THEN
        SecurityLog.logFailedLogin(email)
        RETURN error("Invalid credentials")
    END IF

    session ← CreateUserSession(user)
    RETURN {user: user, session: session}
END

Data structure selection

Name the structure, its complexity per operation, and why it was chosen over the alternatives — not just what it is:

UserCache:
    Type: LRU cache with TTL
    Purpose: reduce DB queries for active users
    Operations: get O(1), set O(1), evict O(1)

PermissionTree:
    Type: trie (prefix tree)
    Purpose: efficient hierarchical permission checks
    Operations: hasPermission(path) O(m), m = path length

Read the full file on GitHub · 128 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. yesterday First seen · 128 lines · 107 tokens per session scan A 8dbbe68edcfa

Subscribe to this mod's changes

algorithm-pseudocode-design is a skill published in the GitHub repository getappz/agentflare (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 107 tokens to every session and 1,074 once invoked, about $0.0005 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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