Markdown has no nesting at equal fence length. Inside a ```markdown
template, a ```bash line is text, and the example's bare ``` closes the
template. Seven agents nest example blocks inside a template that way, so on
GitHub the rest of each template renders as headings and prose, and in three
of them the last block then runs open to the end of the file:
design-ux-architect code from line 414 to EOF
ats-validator-architect code from line 307 to EOF
master-plan-architect code from line 102 to EOF
technical-writer, incident-response-commander, developer-advocate,
workflow-architect templates end early, rest renders as markdown
The fix for each is the one CommonMark intends: fence the outer template
with four backticks so the three-backtick examples stay inside it. Nine outer
blocks change; no content does.
Nothing caught this because lib.sh's fence_closes_p accepted "```python" as
a closing fence. CommonMark allows only whitespace after a closing run, and
GitHub renders by that rule. With the old rule the linter and the OpenClaw
split read those seven files one way and GitHub another, so each agreed with
itself and all three disagreed with what users see. fence_closes_p now
requires a bare run, and the OpenClaw split invariant in
test-convert-outputs.sh uses the same rule.
lint-agents.sh gets two errors, each with the file line number:
- a fence line inside an open block that is long enough to close it but
carries an info string -- the only way that happens is an attempted
nest, and the message says how to fix it
- a block that is still open at the end of the file
The body loop now reads the file from the line after the frontmatter
instead of from $body, which drops every "---" line and so cannot give a
line number. It also keeps a last line with no trailing newline; two agents
end on a closing fence with none, and without that they read as unclosed.
The whole roster lints with 0 errors after the fix; on main the same check
reports 18 errors across the seven files.
scripts/test-lint-fences.sh covers both errors, the suggested fix, tilde
fences, and fence_closes_p directly, and runs in check-tools.yml.
OpenClaw support:
- Add section-splitting convert_openclaw() to convert.sh that routes
## headers by keyword into SOUL.md (persona) vs AGENTS.md (operations)
and generates IDENTITY.md with emoji + vibe from frontmatter
- Add integrations/openclaw/ to .gitignore
Frontmatter additions (all 112 agents):
- Add emoji and vibe fields to every agent for OpenClaw IDENTITY.md
generation and future dashboard/catalog use
- Add services field to carousel-growth-engine (Gemini API, Upload-Post)
- Add emoji/vibe to 7 new paid-media agents from PR #83
Agent quality:
- Rewrite accounts-payable-agent to be vendor-agnostic (remove AgenticBTC
dependency, use generic payments.* interface)
Documentation:
- CONTRIBUTING.md: Add Persona/Operations section grouping guidance,
emoji/vibe/services frontmatter fields, external services editorial policy
- README.md: Add OpenClaw to supported tools, update agent count to 112,
reduce third-party OpenClaw repo mention to one-line attribution
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Remove all hardcoded "51" agent counts from README and strategy docs to
avoid future maintenance burden as new agents are contributed. Add Image
Prompt Engineer (Design), Sales Data Extraction Agent, Data Consolidation
Agent, and Report Distribution Agent (Specialized) to all roster listings.
Fix slug-style name on Image Prompt Engineer frontmatter.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Update 19 agent name: fields from slug-style (e.g. "engineering-ai-engineer")
or code-style (e.g. "ArchitectUX") to clean human-readable names (e.g.
"AI Engineer", "UX Architect"). Add missing YAML frontmatter to 2 spatial-
computing agents. All 51 agents now use consistent naming that aligns with
the NEXUS strategy docs.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
New design specialist focused on crafting professional photography
prompts for AI image generation tools. Includes comprehensive
frameworks for portrait, product, landscape, and fashion photography
with platform-specific optimization for Midjourney, DALL-E, Stable
Diffusion, and Flux.