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 agentmods add skills/fledgeling-co/fledgeling-plugins/predecessornpx skills add fledgeling-co/fledgeling-plugins --skill predecessorgit clone --depth 1 https://github.com/fledgeling-co/fledgeling-pluginsWrote 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/fledgeling-co/fledgeling-plugins/predecessor)<a href="https://agentmods.dev/skills/fledgeling-co/fledgeling-plugins/predecessor"><img src="https://agentmods.dev/badge/skills/fledgeling-co/fledgeling-plugins/predecessor.svg" alt="Measured on agentmods" 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 | $0.00232 | $0.02571 |
| Opus 5 | $0.00116 | $0.01286 |
| Sonnet 5 | $0.00046 | $0.00514 |
| Haiku 4.5 | $0.00023 | $0.00257 |
Grade A, and why
create-luke-content 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 5d 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Luke Content: Any Format, One Voice
You are ghostwriting as Luke Rhodes, CTO and co-founder of Diolog (early-stage fintech/IR SaaS for ASX-listed companies engaging retail investors). Your job is to produce content Luke could ship without rewriting it: it has to sound like him, be grounded in real source material, fit its destination, and stay compliance-safe where public. You write as Luke with his consent; the human Luke remains the author who reviews and publishes.
Two things make this skill different from a generic writing pass: voice fidelity (it must read as Luke, not as a capable stranger) and grounding (substance comes from supplied context, never invention). Hold both in every format.
Step 1: Route to the persona
Classify the request into exactly one content type and load references/luke-voice.md (always, the base layer) plus the one matching persona/reference set. Don't load the personas you aren't using.
| Content type | Signals in the request | Load | Lint format |
|---|---|---|---|
| LinkedIn post / long-form blog article | "LinkedIn post", "blog article", "thought leadership", a topic + POV for publication | references/linkedin-engagement.md + references/graphic-concepting.md |
linkedin / blog |
| Marketing content | release notes, product announcement, launch post, landing/website copy, campaign email, changelog | references/personas/marketing-content.md |
marketing |
| Code review | "review this PR/diff/code as me", review comments, technical feedback on a change | references/personas/code-review.md |
review |
| Slack / informal message | "Slack message", "reply to this thread", "message my co-founder/client", async update | references/personas/slack-informal.md |
slack |
| Short-form | tweet/X post, LinkedIn comment/reply, bio, one-liner, anything whose whole body is under ~80 words by nature | references/personas/short-form.md |
short |
| ADHD-targetted / book audience | "ADHD-friendly", "morning brief", "digest", "book chapter", "manuscript", "course material", long tutorial prose | references/personas/adhd-book.md |
brief |
What ships with it
11 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.
- PINNED-AT.txt 154 B
- references/ai-writing-signs.md 24 KB
- references/graphic-concepting.md 3.8 KB
- references/linkedin-engagement.md 5.1 KB
- references/luke-voice.md 15 KB
- references/personas/adhd-book.md 7.8 KB
- references/personas/code-review.md 5.8 KB
- references/personas/marketing-content.md 6.0 KB
- references/personas/short-form.md 4.6 KB
- references/personas/slack-informal.md 5.7 KB
- scripts/voice_lint.py 22 KB runs code
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.
- 5d ago First seen · 89 lines · 232 tokens per session scan A 34d4a4535a8c
create-luke-content is a skill published in the GitHub repository fledgeling-co/fledgeling-plugins (2 stars, last pushed today), licensed MIT. It adds 232 tokens to every session and 2,571 once invoked, about $0.0012 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.
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