qualifying-opportunities

qualifying-opportunities is a skill for Claude Code from danielkinneyspears/govcon-pursuit-brain. It costs 115 tokens per session (2,459 once invoked), scanned A, original, Apache-2.0.

A bid-or-no-bid review skill for US federal opportunities such as solicitations, requests for proposals, and task orders. It also starts the pursuit’s knowledge wiki when needed; a wiki is a linked set of pages that stores and organizes project information.

In plain words
What is it for?
Use it to assess whether to pursue a federal contract opportunity and record the decision and supporting information in the pursuit wiki.
Why use it?
It helps avoid spending proposal time and money on opportunities that are not a good fit or are unlikely to be won.

Skill for Claude Code

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

Part of the govcon-pursuit-brain plugin — 2 skills shipped together

Good fit Use it to assess whether to pursue a federal contract opportunity and record the decision and supporting information in the pursuit wiki.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/danielkinneyspears/govcon-pursuit-brain/qualifying-opportunities
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 danielkinneyspears/govcon-pursuit-brain --skill qualifying-opportunities
Clone the repo
git clone --depth 1 https://github.com/danielkinneyspears/govcon-pursuit-brain

Made for: Claude Code.

Or install govcon-pursuit-brain, the plugin that ships this one along with the rest of its 2 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 qualifying-opportunities

README.md
[![agentmods](https://agentmods.dev/badge/skills/danielkinneyspears/govcon-pursuit-brain/qualifying-opportunities/github.svg)](https://agentmods.dev/skills/danielkinneyspears/govcon-pursuit-brain/qualifying-opportunities)
Your own site
<a href="https://agentmods.dev/skills/danielkinneyspears/govcon-pursuit-brain/qualifying-opportunities"><img src="https://agentmods.dev/badge/skills/danielkinneyspears/govcon-pursuit-brain/qualifying-opportunities/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.

agentmods 80×15 button for qualifying-opportunities

Your own site · 80×15
<a href="https://agentmods.dev/skills/danielkinneyspears/govcon-pursuit-brain/qualifying-opportunities"><img src="https://agentmods.dev/badge/skills/danielkinneyspears/govcon-pursuit-brain/qualifying-opportunities.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 115 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,459 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 $0.00115 $0.02459
Opus 5 $0.00057 $0.01229
Sonnet 5 $0.00023 $0.00492
Haiku 4.5 $0.00012 $0.00246

Measured 11d ago against content hash 3d51f97930ef, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

qualifying-opportunities 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 11d 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/qualifying-opportunities/SKILL.md · 198 lines

How it starts

The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Qualifying Opportunities

Decide whether to pursue or bid a US Federal opportunity — and, because this is usually the first skill to touch a pursuit, bootstrap the pursuit wiki it will live in. The expensive mistake in federal BD is spending bid-and-proposal money on bids that were never winnable; this skill makes that decision deliberately, on evidence, and records it as the first entities in the pursuit's knowledge graph.

When to use this skill

Use this skill at any bid/no-bid gate — an early pursuit decision, a preliminary bid decision, or post-RFP bid validation. It both renders the decision and, on first run, creates the pursuit wiki that every later skill builds on.

It does not build the win plan — that is planning-capture and developing-win-strategy. It decides whether there should be a win plan at all.

Architecture

This skill is wiki-native. Read docs/architecture.md and the conventions before running it. The skill reads sources and the domain wiki, maintains pursuit entity pages, and renders views — it never writes a flat artifact as a source of truth.

Relevant domain-wiki pages: [[uniform-contract-format]], [[section-m]], [[far-part-15-source-selection]], [[best-value-tradeoff]], [[lpta]].

Inputs

Required: the opportunity — a described lead, or a solicitation document placed in pursuits/<id>/sources/.

Existing pursuit wiki, if this is not the first run: read pursuit.md and the existing customer/, competitors/, and decisions/ entities; do not re-create them.

Private company context (recommended). If pursuit.md carries a company_context_path: field, read the relevant company-context pages before intakecustomers/<this-agency>/, past-performance/, key-personnel/, pricing-guidance/, compliance-posture/, debrief-lessons/, approved-proof-points/. Treat them as authoritative sources for the questions they answer. See ../../docs/customize-for-your-company.md. Without company-context, the skill still runs from intake — just with less leverage.

Read the full file on GitHub · 198 lines

Files

What ships with it

1 file 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.

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. 11d ago First seen · 198 lines · 115 tokens per session scan A 3d51f97930ef

Subscribe to this mod's changes

qualifying-opportunities is a skill published in the GitHub repository danielkinneyspears/govcon-pursuit-brain (5 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 115 tokens to every session and 2,459 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.

Related

Other skills, from other repositories

auditing-commitments

Audits a US Federal proposal draft for the obligations it creates, and flags promises stronger than the solicitation requires. Use when the user needs a commitment audit, a promise review, an obligation review, a check for overcommitting, a review of "we will" and "shall" language, a check that the draft does not…

danielkinneyspears/federal-proposal-skills · 118 tokens

analyzing-competitors

Produces a Black Hat competitive assessment for a US Federal opportunity. Use when the user needs competitive analysis, a Black Hat review or session, competitor profiling, an incumbent assessment, or wants to understand the competitive field for a federal bid. Identifies likely competitors, models each one's probable…

danielkinneyspears/federal-proposal-skills · 92 tokens

analyzing-debriefs

Prepares for and analyzes a US Federal procurement debrief. Use when the user needs to request a debrief, prepare debrief questions, analyze a government debrief, conduct win/loss analysis, or capture lessons learned from a federal bid. Structures the debrief request, interprets what the government said about the…

danielkinneyspears/federal-proposal-skills · 88 tokens

checking-submission-compliance

Runs the final production and submission-compliance check on a US Federal proposal before submission. Use when the user needs a submission compliance check, a final compliance review, a production check, a page-count or format check, a forms and certifications check, or a pre-submission checklist for a federal bid.…

danielkinneyspears/federal-proposal-skills · 97 tokens

developing-solution-approach

Designs the proposal-ready solution for a US Federal bid. Use when the user needs a solution approach, a technical solution design, solutioning, a solutioning workshop, a staffing or management model, a transition or risk or quality approach, or needs to turn requirements, win themes, and constraints into a designed…

danielkinneyspears/federal-proposal-skills · 89 tokens

developing-teaming-strategy

Develops the teaming strategy for a US Federal pursuit. Use when the user needs a teaming strategy, a partner gap analysis, teammate selection or scoring, workshare planning, teaming agreements or letters of intent, subcontractor data calls, small-business participation or subcontracting-plan input, or teaming OCI…

danielkinneyspears/federal-proposal-skills · 84 tokens