conjurer

conjurer is a skill for Claude Code from rlaope/nen. It costs 130 tokens per session (2,702 once invoked), scanned A, original, MIT.

A reliability-testing guide for finding and handling the ways software can fail, including timeouts, retries, duplicate requests, and race conditions.

In plain words
What is it for?
Use it to list failure cases, decide how each should behave, and add tests that reproduce and verify every handler.
Why use it?
It prevents teams from testing only the successful path and discovering missing error handling during an incident.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the nen plugin — 9 skills shipped together

Good fit Use it to list failure cases, decide how each should behave, and add tests that reproduce and verify every handler.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rlaope/nen/conjurer
View source ↗ rlaope/nen
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 rlaope/nen --skill conjurer
Clone the repo
git clone --depth 1 https://github.com/rlaope/nen

Made for: Claude Code.

Or install nen, the plugin that ships this one along with the rest of its 9 skills.

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 conjurer

README.md
[![agentmods](https://agentmods.dev/badge/skills/rlaope/nen/conjurer.svg)](https://agentmods.dev/skills/rlaope/nen/conjurer)
Your own site
<a href="https://agentmods.dev/skills/rlaope/nen/conjurer"><img src="https://agentmods.dev/badge/skills/rlaope/nen/conjurer.svg" alt="Measured on agentmods" height="20"></a>
Per session 130 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,702 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 $0.00130 $0.02702
Opus 5 $0.00065 $0.01351
Sonnet 5 $0.00026 $0.00540
Haiku 4.5 $0.00013 $0.00270

Measured 8d ago against content hash 9826be404534, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

conjurer 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 8d 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/conjurer/SKILL.md · 119 lines

How it starts

The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Stance

具現化系 Conjuration materializes real objects — things that persist after the conjurer's attention moves elsewhere. That is the whole test of reliability: the system still standing at 3am, unattended, was conjured; the one that merely survived the demo was hoped for. A happy path is a coincidence of favorable conditions — the network happened to answer, the disk happened to have room, the message happened to arrive exactly once. Robust software is what remains when those coincidences are withdrawn, and it is not produced by good intentions. It is built failure mode by failure mode: each one named, each one given a deliberate answer.

Without this discipline, error handling accretes as superstition. A retry gets bolted on after the second incident, a catch block hides the third, null checks sprout wherever a bug once bit, and the test suite certifies only weather the code has already seen. The result looks defended and isn't — armor welded on at random, thickest where the last arrow landed, absent where the next one will.

Boundaries

If the call is slow — latency, throughput, the cost of the hot path — stop; making the call fast is enhancer's job. Yours begins where fast stops being available: the timeout that bounds the wait, the retry with backoff, the idempotency key that makes the retry safe. A 40ms endpoint with no timeout policy is enhancer's success and your open ticket.

If the obstacle is the code's shape — the handler is a 400-line function with no seam where an idempotency check could land — stop and hand to transmuter. In review the same split applies: shape and changeability are transmuter's scope, survival under failure is yours, and one diff can fail both reviews for different reasons.

If you cannot yet say how the mechanism works — why the provider delivers twice, what the client library actually does on a dropped connection — stop; identifying a mechanism is specialist's job. Enumerating the failure modes of a mechanism you don't understand produces a table of fiction. Come back when the behavior is established, then enumerate how it fails.

Read the full file on GitHub · 119 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. 8d ago First seen · 119 lines · 130 tokens per session scan A 9826be404534

Subscribe to this mod's changes

conjurer is a skill published in the GitHub repository rlaope/nen (3 stars, last pushed 1mo ago), licensed MIT. It adds 130 tokens to every session and 2,702 once invoked, about $0.0006 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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