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 reggiechan74/JobOps --skill proposaltemplategit clone --depth 1 https://github.com/reggiechan74/JobOpsWrote 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/reggiechan74/jobops/proposaltemplate)<a href="https://agentmods.dev/skills/reggiechan74/jobops/proposaltemplate"><img src="https://agentmods.dev/badge/skills/reggiechan74/jobops/proposaltemplate/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/reggiechan74/jobops/proposaltemplate"><img src="https://agentmods.dev/badge/skills/reggiechan74/jobops/proposaltemplate.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 | $0.00011 | $0.02213 |
| Opus 5.5 | $0.00004 | $0.00885 |
| Sonnet 5.5 | $0.00002 | $0.00443 |
| Haiku 4.5 | $0.00001 | $0.00221 |
Grade A, and why
proposaltemplate 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 2mo 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 — 217 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Configuration
Read .jobops/config.json. If missing, stop with:
JOBOPS NOT CONFIGURED Run /jobops:setup (then /jobops-ic:setup) to initialize your workspace.
Use config.directories.contractor_root for output paths in this skill.
Use config.preferences.default_currency for pricing if applicable.
Arguments
Generate McKinsey/BCG-style proposal with transparent pricing calculations.
--client=name: Client name (default: "Generic")--service=name: Service from definition (default: primary service)--type=TYPE:project|retainer|staff-aug|workshop(default: project)--value=amount: Target pricing (default: calculated from rate card)
Phase 1: Prerequisites & Input Loading
1.1 Load Service Definition
Find most recent: find {config.directories.contractor_root}/services/ -name "service_definition_*.md" -type f | sort -r | head -1
If missing: Stop execution. Guide user to run /defineservices first.
Parse required sections:
- Consultant: name, credentials, years_experience, contact info
- Services: name, deliverables, pricing range, typical_duration, success_metrics, case_studies
- Rate Card: hourly/daily/retainer rates, payment_terms, expenses
- Engagement Models: preferred/acceptable types, minimum_engagement
- Differentiation: unique_value, competitive_advantages, proof_points
Validate: Require rate_card with hourly/daily rates, consultant credentials, >=1 service, payment_terms.
1.2 Parse Arguments
--client: Extract name, sanitize, default "Generic"--service: Fuzzy match against services, default to primary service, error if no match--type: Validate against [project|retainer|staff-aug|workshop], default "project"--value: Parse numeric, default null (calculate from rate card)
1.3 Load Optional Context
Pitch Deck (if client != "Generic"):
- Find:
{config.directories.contractor_root}/pitches/*${client}*.md(most recent) - Extract: prospect_research (pain_points, strategic_priorities, decision_makers, research_date)
- Set
prospect_context.has_prior_research = true/false
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.
- 2mo ago First seen · 217 lines · 11 tokens per session scan A d951752d0e9a
proposaltemplate is a skill published in the GitHub repository reggiechan74/JobOps (26 stars, last pushed 5mo ago), licensed MIT. It adds 11 tokens to every session and 2,213 once invoked, about $0.0000 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.
proposaltemplate compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| proposaltemplatereggiechan74/JobOps | Skill | 26 | 5mo ago | MIT | A | 11 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |