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 analyzing-competitorsgit 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/analyzing-competitors)<a href="https://agentmods.dev/skills/danielkinneyspears/federal-proposal-skills/analyzing-competitors"><img src="https://agentmods.dev/badge/skills/danielkinneyspears/federal-proposal-skills/analyzing-competitors/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/analyzing-competitors"><img src="https://agentmods.dev/badge/skills/danielkinneyspears/federal-proposal-skills/analyzing-competitors.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 | $0.00092 | $0.01643 |
| Opus 5 | $0.00046 | $0.00822 |
| Sonnet 5 | $0.00018 | $0.00329 |
| Haiku 4.5 | $0.00009 | $0.00164 |
Grade A, and why
analyzing-competitors 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.
How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyzing Competitors
Run a Black Hat competitive assessment: figure out who else will bid, how each of them will bid, and what to do about it. The core technique is perspective — stop thinking about the team's own proposal and instead bid the job as each competitor would. A competitive assessment that only lists competitors and their revenue is a directory. A Black Hat predicts their offers.
When to use this skill
Use this skill during capture, once an opportunity is being pursued, to assess the competitive field. It supports the bid/no-bid decision, the price-to-win analysis, and (most importantly) the win strategy, which needs to know what it is differentiating against.
Re-run it as intelligence improves, especially after a draft RFP clarifies scope and after customer engagement sharpens the read on the incumbent.
This skill does not set the team's win themes (developing-win-strategy) or
estimate the price target (estimating-price-to-win) — but both depend on it,
so run this first.
Inputs
Preferred upstream artifacts:
00-opportunity-profile.md: the opportunity facts, including any known incumbent and competitors.02-capture-plan.md: customer intelligence that informs how competitors are positioned with this customer.
Without them, run the intake below.
Read ../../shared/glossary.md and ../../shared/pursuit-workspace.md if not
already read this session. Read references/competitive-intelligence-ethics.md
before gathering any competitor information.
Intake
Ask these as a numbered list. Skip what upstream artifacts answer.
- The opportunity. What is the requirement, customer, contract type, estimated value, set-aside, and vehicle? (Set-aside and vehicle bound the field — only qualifying firms can bid.)
- Known and suspected bidders. Who does the team already believe will bid? Is there an incumbent, and who is it?
- What is known about each competitor. For each likely bidder, what does the team know — size, relevant past performance, customer relationship, typical technical approach, typical price posture, recent wins and losses?
- The incumbent's standing. If there is an incumbent the team is not, how is the customer's relationship with it — strong, strained, fatigued? Any known performance problems?
- The team's own position. Briefly — where does the team believe it is strong and weak relative to this field? (Used to assess exposure, not to set strategy.)
- Information sources. What public or properly obtained sources are available — past award data, published past performance, market research, prior debriefs? (See the ethics reference for what is in bounds.)
What ships with it
3 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.
- 11d ago First seen · 146 lines · 92 tokens per session scan A 2ebf8d02fde1
analyzing-competitors is a skill published in the GitHub repository danielkinneyspears/federal-proposal-skills (5 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 92 tokens to every session and 1,643 once invoked, about $0.0005 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.
Other skills, from other repositories
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…
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…
govcon-growth-workflow
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igce-builder-ffp
Trigger for: FFP IGCE, firm-fixed-price estimate, FFP cost model, proposed FFP rate validation, wrap-rate analysis, Agency BPA rate comparison, price-reasonableness memo, or fair-and-reasonable analysis. Build auditable Firm-Fixed-Price federal estimates using BLS OEWS wages, layered fringe/overhead/G&A/profit, GSA…
market-research-workflow
Trigger for: federal acquisition market research; FAR Part 10 reports; refreshing an existing market research report; analyzing commerciality, competition, small-business availability, contract type, consolidation, prior awards, vendors, or market conditions; or preparing supported findings for a Pre-Award Agent. A…