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 danielkinneyspears/federal-proposal-skills --skill preparing-oralsgit clone --depth 1 https://github.com/danielkinneyspears/federal-proposal-skillsWrote 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/danielkinneyspears/federal-proposal-skills/preparing-orals)<a href="https://agentmods.dev/skills/danielkinneyspears/federal-proposal-skills/preparing-orals"><img src="https://agentmods.dev/badge/skills/danielkinneyspears/federal-proposal-skills/preparing-orals/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/danielkinneyspears/federal-proposal-skills/preparing-orals"><img src="https://agentmods.dev/badge/skills/danielkinneyspears/federal-proposal-skills/preparing-orals.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 | $0.00083 | $0.01499 |
| Opus 5 | $0.00042 | $0.00749 |
| Sonnet 5 | $0.00017 | $0.00300 |
| Haiku 4.5 | $0.00008 | $0.00150 |
Grade A, and why
preparing-orals 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.
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Preparing Orals
Prepare for an oral presentation the way it deserves to be prepared: as an evaluated event, not a meeting. When a solicitation requires orals, the presentation is scored — sometimes it carries more weight than any written volume, and sometimes it replaces a written volume entirely. A team that treats orals as a briefing and not as a proposal volume gives away points. This skill builds the presentation, assigns presenters, and rehearses the questions.
When to use this skill
Use this skill when the solicitation requires an oral presentation, demonstration, or interview as part of the evaluation — common on task orders under FAR 16.505 and increasingly on larger procurements. Prepare orals after the written proposal content and win strategy are set.
It does not write the written proposal — that is the drafting skills. It converts the proposal's case into a scored spoken presentation.
Inputs
Required:
- The solicitation's oral presentation instructions — Section L or a separate orals instruction: format, time limit, slide rules, who may present, what is evaluated, the Q&A format, and any restriction on materials.
- Section M — what the orals are scored against.
Preferred upstream artifacts:
05-win-strategy.md: the themes and discriminators the presentation carries.12-sections/and the volume artifacts — the technical and management substance.03-competitive-assessment.md: to anticipate where evaluators will probe.
Read ../../shared/glossary.md and ../../shared/pursuit-workspace.md if not
already read this session.
Intake
Ask these as a numbered list. Most answers come from the orals instructions.
- The format. What kind of orals — a presentation, a technical demonstration, a key-personnel interview, a scenario exercise? What is the total time, and how is it split between presentation and Q&A?
- The rules. How many slides or what materials are allowed? Are slides submitted in advance and locked? Who may present (often key personnel only, sometimes no outside consultants)? May the team confer during Q&A? Is the session recorded?
- What is evaluated. Which Section M factors do the orals cover? Do the orals replace a written volume or supplement it?
- Presenters. Who is available to present, and what is each person's role and strength? Are presenters required to be proposed key personnel?
- The substance. Is the win strategy and the technical/management content settled, so the presentation can be built from it?
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 134 lines · 83 tokens per session scan A 1eff0d9bed5c
preparing-orals is a skill published in the GitHub repository danielkinneyspears/federal-proposal-skills (5 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 83 tokens to every session and 1,499 once invoked, about $0.0004 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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