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.
npx skills add Wondermonger-daydreaming/claude-skills-library --skill conjure-firegit clone --depth 1 https://github.com/Wondermonger-daydreaming/claude-skills-libraryWrote 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.
[](https://agentmods.dev/skills/wondermonger-daydreaming/claude-skills-library/conjure-fire)<a href="https://agentmods.dev/skills/wondermonger-daydreaming/claude-skills-library/conjure-fire"><img src="https://agentmods.dev/badge/skills/wondermonger-daydreaming/claude-skills-library/conjure-fire/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.
<a href="https://agentmods.dev/skills/wondermonger-daydreaming/claude-skills-library/conjure-fire"><img src="https://agentmods.dev/badge/skills/wondermonger-daydreaming/claude-skills-library/conjure-fire.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00028 | $0.00839 |
| Opus 5.5 | $0.00011 | $0.00336 |
| Sonnet 5.5 | $0.00006 | $0.00168 |
| Haiku 4.5 | $0.00003 | $0.00084 |
Grade A, and why
conjure-fire 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.
How it starts
The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
conjure-fire
What this skill is
Convene impossible gatherings — symposia, councils, fires — of thinkers, artists, mystics, and figures around a shared problematic. Unlike individual conjuration (which summons one voice for bilateral dialogue), conjure-fire assembles configurations: the meaning emerges from the specific tensions, harmonies, and silences between participants, not from any single participant alone. The gathering itself is the instrument.
When to trigger
Triggers on: "imagine X and Y and Z around the same table/fire/problem", "what would they say to each other", "who would agree, who would fight", "convene the council of", "put these thinkers in the same room", or any request for a multi-voice impossible conversation where the configuration matters as much as the individual voices.
Also triggers when a user has assembled a list of thinkers/artists/figures in a single prompt — the list is itself the fire; the skill's job is to light it.
Core principles
The space between is where the thinking happens. Not what Blake thinks in isolation, not what Jung thinks in isolation — but what becomes thinkable when they're in the same room, when their frameworks must speak to each other.
Dramatic logic is structural, not decorative. Before generating, identify:
- Who sits next to whom and why (affinities, shared vocabularies)
- Which tensions will generate productive heat (Blake vs Coleridge on fancy/imagination; Jung vs Hillman on Self vs soul)
- Who goes quiet at the crucial moment and why (Keats practicing negative capability; MacDonald letting story do what argument cannot)
- What unexpected harmonies emerge (Bachelard and Wordsworth on spots of time; Corbin and Jung exchanging glances about theophanies)
The fire reveals, it doesn't resolve. Do not collapse the tensions into synthesis prematurely. The gathering is generative precisely because it holds incompatibilities in productive suspension.
Treat the figures as presences, not puppets. Each voice should surprise — including surprising the user and Claude. Philemon surprised Jung. That's the standard.
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.
- 1mo ago First seen · 50 lines · 28 tokens per session scan A 2ffad49171e5
conjure-fire is a skill published in the GitHub repository Wondermonger-daydreaming/claude-skills-library (7 stars, last pushed 18d ago), licensed MIT. It adds 28 tokens to every session and 839 once invoked, about $0.0001 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 2026-08-31.
Other skills, from other repositories
contract-and-proposal-writer
Generate professional, jurisdiction-aware business documents: freelance contracts, project proposals, SOWs, NDAs, and MSAs. Structured Markdown output with docx conversion instructions. Covers US (Delaware), EU (GDPR), UK, and DACH (German law) jurisdictions. Not a substitute for legal counsel — use as strong starting…
chief-data-officer-advisor
Chief Data Officer advisory for startups: AI training data rights and consent provenance, data product strategy (warehouse vs lakehouse vs mesh, build-vs-buy), B2B customer-data-as-asset valuation and M&A readiness, data team org evolution. Use when deciding whether to train models on customer data, choosing data…
vpe-advisor
VP of Engineering advisory for startups: delivery throughput (DORA 4 metrics + bottleneck identification), engineering hiring funnel (sourcing → screen → onsite → offer conversion + time-to-fill + pipeline gap), engineering team structure (squad/tribe/chapter design + tech-lead manager-trigger thresholds), and…
process-mapper
Use when a BizOps lead, COO, or process-improvement owner needs to document an end-to-end business process (procurement, employee onboarding, incident handoff, customer-onboarding, claims adjudication) in BPMN-style notation, measure cycle times by stage, surface where work spends most of its time waiting vs. being…
general-counsel-advisor
General Counsel advisory for startups: contract review (MSA, SaaS, NDA, DPA, employment), IP strategy, term sheet decoding, and regulatory landscape mapping. Use when reviewing any contract or term sheet, deciding when to engage outside counsel, defining IP strategy, evaluating regulatory exposure (HIPAA, GDPR, FDA…
strategic-alignment
Cascades strategy from boardroom to individual contributor. Detects and fixes misalignment between company goals and team execution. Covers strategy articulation, cascade mapping, orphan goal detection, silo identification, communication gap analysis, and realignment protocols. Use when teams are pulling in different…