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 VonTerraProject501c3/slushpile --skill application-buildergit clone --depth 1 https://github.com/VonTerraProject501c3/slushpileWrote 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/vonterraproject501c3/slushpile/application-builder)<a href="https://agentmods.dev/skills/vonterraproject501c3/slushpile/application-builder"><img src="https://agentmods.dev/badge/skills/vonterraproject501c3/slushpile/application-builder/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/vonterraproject501c3/slushpile/application-builder"><img src="https://agentmods.dev/badge/skills/vonterraproject501c3/slushpile/application-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 405 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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 | $0.00044 | $0.06941 |
| Opus 5 | $0.00022 | $0.03470 |
| Sonnet 5 | $0.00009 | $0.01388 |
| Haiku 4.5 | $0.00004 | $0.00694 |
Grade A, and why
application-builder 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 9d 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 — 434 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Application Builder
Take a role folder with a job description and a role analysis. Produce a resume and a cover letter that have already survived a seven-agent review.
Announce at start: "Building materials for $ROLE. Reading the JD, the role analysis, and the profile."
Arguments:
$1— path to a role folder containingjob_description.mdandrole_analysis.md
Example:
/slushpile:application-builder applications/Acme/Engineering/Staff-SRE
Prerequisites
Read all of these before writing anything:
profile.md— the source of truth for every factual claim. Nothing goes on a resume that is not in here.stories.md— the shortlist the cover letter's story comes frompreferences.yaml— constraints, claimed differentiators, andvoice.agent- The definition of the agent named in
voice.agent— how this person writes - The role's
job_description.md - The role's
role_analysis.md
Check voice.is_mine in preferences.yaml before drafting the cover letter. If it is false, the user has not yet generated a voice agent from their own writing and the pipeline is about to write in a stranger's voice. Say so once, plainly, and point them at https://github.com/aaddrick/written-voice-replication. Then continue if they want to — a placeholder voice is fine for seeing the pipeline work, and it is not fine for a letter they actually send. They cannot make that call if nobody tells them.
If role_analysis.md does not exist, stop and run /slushpile:job-board-search for this company first, or write the analysis by hand. Building materials without a pool assessment means targeting the posting instead of the queue, and the queue is what decides.
Every templates/... path in this file is relative to the plugin, not to the workspace. The working directory is the user's job-search directory and does not contain them, so a bare templates/cover_letter.tex resolves to nothing. Resolve them against the directory this skill file was itself loaded from — that works on every harness, where a harness-specific plugin-root variable does not.
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.
- 9d ago First seen · 434 lines · 44 tokens per session scan A 78de4c43cb8e
application-builder is a skill published in the GitHub repository VonTerraProject501c3/slushpile (15 stars, last pushed 22d ago), licensed MIT. It adds 44 tokens to every session and 6,941 once invoked, about $0.0002 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 2026-08-30.
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