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 sugarforever/01coder-agent-skills --skill fpl-copilotgit clone --depth 1 https://github.com/sugarforever/01coder-agent-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/sugarforever/01coder-agent-skills/fpl-copilot)<a href="https://agentmods.dev/skills/sugarforever/01coder-agent-skills/fpl-copilot"><img src="https://agentmods.dev/badge/skills/sugarforever/01coder-agent-skills/fpl-copilot/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/sugarforever/01coder-agent-skills/fpl-copilot"><img src="https://agentmods.dev/badge/skills/sugarforever/01coder-agent-skills/fpl-copilot.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 | $0.00036 | $0.01395 |
| Opus 5.5 | $0.00014 | $0.00558 |
| Sonnet 5.5 | $0.00007 | $0.00279 |
| Haiku 4.5 | $0.00004 | $0.00139 |
Grade A, and why
fpl-copilot 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 18d 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FPL Copilot
Analyze current FPL data, maintain saved squads, and produce self-contained reports. This skill specifies operations and completion criteria; choose suitable tools or commands from the actual environment.
Workflow
1. Establish capabilities and storage
Inspect the available tools and locate this skill’s resources relative to its installed location. Identify capabilities for HTTP requests, JSON processing, SQLite 3 queries and writes, document persistence, and report delivery. On a shell-equipped host, infer suitable installed commands or scripting libraries; on other hosts, use exposed native tools. Tool names and executables are implementation choices.
Resolve storage once using the rule below, then reuse the resulting mapping for every reference and operation. Keep FPL data separate from the agent application's internal storage.
Storage resolution (in precedence order):
- Use an explicit user-selected FPL location or a host-provided binding for the stable namespace
fpl-copilot. If these disagree, ask which to use before writing. - Without an explicit selection or host binding, use the desktop root
~/.fplcopilot/, expanded to an absolute path through the current user's home directory. Reuse this root even when the working directory or conversation changes. - On a host without a desktop home, request persistent storage for namespace
fpl-copilotfrom its storage capability. Reopen its existing binding; if the host cannot provide a stable binding, ask the user to select a durable location before creating state. Conversation-local storage must be identified as such and selected explicitly.
Derive fplcopilot.db, squads/, reports/, and player-history-sync.json from that one root. If the host uses separate resource handles, persist their mapping under the same namespace through the host's storage configuration. Verify that mapping can be reopened before claiming cross-conversation persistence. Every mention of a “resolved” location in the references means this mapping, never a fresh location choice.
What ships with it
12 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.
- references/analysis.md 13 KB
- references/api.md 7.0 KB
- references/html-output.md 7.8 KB
- references/schema.sql 7.6 KB
- references/squad.md 6.9 KB
- references/sync.md 6.7 KB
- references/sync.sh 15 KB runs code
- templates/captain-ranking.html 10 KB
- templates/fixture-matrix.html 8.3 KB
- templates/gameweek-report.html 12 KB
- templates/squad-view.html 7.9 KB
- templates/transfer-comparison.html 10 KB
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.
- 18d ago Changed · -66 lines · -45 tokens per session 7934aeeea3bf
- 2mo ago First seen · 149 lines · 81 tokens per session scan A 581849a2605e
fpl-copilot is a skill published in the GitHub repository sugarforever/01coder-agent-skills (139 stars, last pushed 18d ago), licensed MIT. It adds 36 tokens to every session and 1,395 once invoked, about $0.0001 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.
fpl-copilot compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| fpl-copilotsugarforever/01coder-agent-skills | Skill | 139 | 18d ago | MIT | A | 36 | 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 |