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 bybren-llc/safe-agentic-workflow --skill spec-creationgit clone --depth 1 https://github.com/bybren-llc/safe-agentic-workflowWrote 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/bybren-llc/safe-agentic-workflow/spec-creation)<a href="https://agentmods.dev/skills/bybren-llc/safe-agentic-workflow/spec-creation"><img src="https://agentmods.dev/badge/skills/bybren-llc/safe-agentic-workflow/spec-creation/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/bybren-llc/safe-agentic-workflow/spec-creation"><img src="https://agentmods.dev/badge/skills/bybren-llc/safe-agentic-workflow/spec-creation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00055 | $0.01153 |
| Opus 5.5 | $0.00022 | $0.00461 |
| Sonnet 5.5 | $0.00011 | $0.00231 |
| Haiku 4.5 | $0.00006 | $0.00115 |
Grade A, and why
spec-creation 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- spec-creation — 100% identical, 20 lines differ
How it starts
The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spec Creation Skill
TEMPLATE: This skill uses
{{PLACEHOLDER}}tokens. Replace with your project values before use.
Purpose
Guide spec creation with clear acceptance criteria, pattern references for execution agents, and testable success validation commands.
When This Skill Applies
- Creating implementation specs
- Breaking down user stories
- Defining acceptance criteria
- Adding pattern references for execution
- Creating demo scripts for validation
- Translating business requirements to technical specs
Stop-the-Line Conditions
FORBIDDEN Patterns
# FORBIDDEN: Missing acceptance criteria
## Implementation
Just do the thing.
# FORBIDDEN: No pattern reference
## Technical Approach
Build it however you want.
# FORBIDDEN: No success validation
## Done Criteria
Looks good to reviewer.
CORRECT Patterns
# CORRECT: Clear acceptance criteria
## Acceptance Criteria
- [ ] User can click button -> modal appears
- [ ] Modal shows validation errors for empty fields
- [ ] Successful submission shows success toast
# CORRECT: Pattern reference for execution
## Pattern Reference
- **UI Pattern**: `patterns_library/ui/modal-form.md`
- **API Pattern**: `patterns_library/api/crud-endpoint.md`
- **RLS Pattern**: `patterns_library/security/rls-user-data.md`
# CORRECT: Success validation command
## Success Validation
{{CI_VALIDATE_COMMAND}}
Spec Template (MANDATORY)
Every spec must include:
# SPEC-{{TICKET_PREFIX}}-{number}: {Feature Name}
## Summary
{One paragraph describing the feature}
## User Story
As a [user type], I want [goal] so that [benefit].
## Acceptance Criteria
- [ ] {Testable criterion 1}
- [ ] {Testable criterion 2}
- [ ] {Testable criterion 3}
## Pattern References
- **UI**: `patterns_library/ui/{pattern}.md`
- **API**: `patterns_library/api/{pattern}.md`
- **Database**: `patterns_library/database/{pattern}.md`
- **Security**: Follow RLS patterns in `docs/database/RLS_IMPLEMENTATION_GUIDE.md`
## Success Validation Command
{validation command}
## Demo Script
1. Navigate to {page}
2. Click {button}
3. Observe {expected behavior}
4. Verify {success indicator}
## Logical Commits
1. `feat(scope): implement data model [{{TICKET_PREFIX}}-{number}]`
2. `feat(scope): add API endpoint [{{TICKET_PREFIX}}-{number}]`
3. `feat(scope): create UI component [{{TICKET_PREFIX}}-{number}]`
4. `test(scope): add unit tests [{{TICKET_PREFIX}}-{number}]`
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.
- 1mo ago First seen · 188 lines · 55 tokens per session scan A bc56fe366ade
spec-creation is a skill published in the GitHub repository bybren-llc/safe-agentic-workflow (425 stars, last pushed 3mo ago), licensed MIT. It adds 55 tokens to every session and 1,153 once invoked, about $0.0002 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
create-stories
Breaks one epic into implementable stories with acceptance criteria. Use when the user wants stories for an epic or the next batch of work to build. Not for turning the whole design into epics.
story-readiness
Checks whether a story is ready to implement: clear acceptance criteria, no open questions, valid ADR and dependencies. Use when the user asks if a story, or the sprint's stories, are ready to start or build.
bug-report
Structured bug report from a description, or analyze code for potential bugs. Reproduction steps, severity.
bug-triage
Re-evaluate open bugs — priority vs severity, assign to sprints, surface systemic trends. Run when the count grows.
team-polish
Orchestrate the polish team — performance-analyst, technical-artist, sound-designer, qa-tester — to optimize and harden a feature or area.
00-init
Turn AIDD measurement on for a project after explicit consent, stop it, choose to be named on your own measurement, or delete what was measured. Use when the user wants to start or stop measuring what their work consumes, add or remove their name, or forget measured data. Not for answering what a period consumed.