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 1102tools-dev/federal-contracting-skills --skill igce-builder-ffpgit clone --depth 1 https://github.com/1102tools-dev/federal-contracting-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/1102tools-dev/federal-contracting-skills/igce-builder-ffp)<a href="https://agentmods.dev/skills/1102tools-dev/federal-contracting-skills/igce-builder-ffp"><img src="https://agentmods.dev/badge/skills/1102tools-dev/federal-contracting-skills/igce-builder-ffp/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/1102tools-dev/federal-contracting-skills/igce-builder-ffp"><img src="https://agentmods.dev/badge/skills/1102tools-dev/federal-contracting-skills/igce-builder-ffp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Excessive Agency · line 247 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00188 | $0.05690 |
| Opus 5.5 | $0.00075 | $0.02276 |
| Sonnet 5.5 | $0.00038 | $0.01138 |
| Haiku 4.5 | $0.00019 | $0.00569 |
Grade A, and why
igce-builder-ffp 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 — 305 lines — stays where its author put it; the contents beside it link to each section on GitHub.
IGCE Builder: Firm-Fixed-Price (FFP)
Purpose and operating boundary
Build an auditable FFP Independent Government Cost Estimate from BLS wages, layered indirect rates, CALC+ positioning data, travel inputs, and the Contracting Officer's assumptions. Keep the BLS wage, aging adjustment, fringe, overhead, G&A, profit, and fixed-price calculations visible and formula driven.
Assemble data and format workbooks. Do not originate professional judgments reserved to the Contracting Officer:
- Do not determine that a price or rate is fair and reasonable.
- Do not invent premiums for clearance, SCIF, OCONUS, specialty labor, or other conditions that the available data does not quantify.
- Do not draft a determination, negotiation position, responsibility finding, or signature-ready FAR memorandum unless the user supplies the rationale and conclusion. If supplied, reproduce that text verbatim and mark the output DRAFT.
- Use neutral positioning language such as "at CALC+ P77" or "above P50 by 22%." Avoid "reasonable," "defensible," "acceptable," "competitive," and similar conclusions.
- Workflow B produces positioning data only unless the user chooses the controlled memo-fill path and supplies the required determination text.
If a sentence concludes whether a number is right or wrong, stop and replace it with sourced data, arithmetic, and the decision left to the Contracting Officer.
Product quality default
Build a decision-ready FFP estimate, not an evidence dump. The IGCE Summary sheet must start with the acquisition purpose, decision supported, grand total, period, pricing basis, editable assumptions, top drivers, material limitations, and the next Contracting Officer action. Use FFP Independent Government Cost Estimate — [Requirement] as the default title, adapting it to a deliverable or period-priced estimate. Keep raw calls, exact query inputs, and source detail in Raw Data; keep calculation explanation in Methodology. Never turn neutral positioning into a fair-and-reasonable conclusion.
What ships with it
11 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.
- agents/openai.yaml 266 B
- references/data-source-operations.md 13 KB
- references/professional-product-standard.md 5.5 KB
- references/runtime-adaptation.md 4.6 KB
- references/validation-gates.md 10 KB
- references/workbook-specification.md 15 KB
- references/wrap-rate-presets.md 5.1 KB
- scripts/recompute_expected_values.py 7.9 KB runs code
- scripts/validate_workbook.py 23 KB runs code
- test.md 3.2 KB
- testing.md 59 KB
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 · 305 lines · 188 tokens per session scan A 7f37022a060e
igce-builder-ffp is a skill published in the GitHub repository 1102tools-dev/federal-contracting-skills (25 stars, last pushed 1mo ago), licensed MIT. It adds 188 tokens to every session and 5,690 once invoked, about $0.0008 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 2026-08-30.
Other skills, from other repositories
estimating-price-to-win
Produces a price-to-win analysis for a US Federal opportunity. Use when the user needs price-to-win, PTW, a competitive pricing analysis, a price target or price range, or wants to understand pricing strategy, cost drivers, and pricing levers for a federal bid. Estimates the competitive price range and a target price…
narrating-cost-volumes
Drafts the cost or price volume narrative and basis-of-estimate text for a US Federal proposal. Use when the user needs a cost volume narrative, price volume narrative, cost narrative, basis of estimate or BOE, cost-realism narrative, or to check cost-technical consistency for a federal bid. Explains and justifies…
helius-jupiter
Skill "helius-jupiter" from helius-labs/core-ai, covering helius x jupiter — build defi apps on solana, mcp router surface, prerequisites, 1. helius mcp server and 2. jupiter api key.
helius-okx
Skill "helius-okx" from helius-labs/core-ai, covering helius x okx — build trading & intelligence apps on solana, mcp router surface, prerequisites, 1. helius mcp server and 2. okx skill library (required).
analyzing-competitors
Produces a Black Hat competitive assessment for a US Federal opportunity as a wiki of competitor entities. Use when the user needs competitive analysis, a Black Hat review or session, competitor profiling, an incumbent assessment, or to understand the competitive field for a federal bid. Creates and enriches one…
qualifying-opportunities
Runs a structured bid/no-bid gate review for a US Federal opportunity and bootstraps the pursuit's knowledge wiki. Use when deciding whether to pursue or bid a federal solicitation, RFP, RFQ, RFI, sources-sought notice, or IDIQ task order — for a bid/no-bid decision, pursuit decision, gate review, opportunity…