Borrowing it
Nothing to install: this file belongs to synaptent/aragora. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/synaptent/aragora/main/.agents/skills/fable-goal-cycle/SKILL.mdgit clone --depth 1 https://github.com/synaptent/aragoraWrote 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/synaptent/aragora/fable-goal-cycle)<a href="https://agentmods.dev/skills/synaptent/aragora/fable-goal-cycle"><img src="https://agentmods.dev/badge/skills/synaptent/aragora/fable-goal-cycle/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/synaptent/aragora/fable-goal-cycle"><img src="https://agentmods.dev/badge/skills/synaptent/aragora/fable-goal-cycle.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 40 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00106 | $0.01267 |
| Opus 5.5 | $0.00042 | $0.00507 |
| Sonnet 5.5 | $0.00021 | $0.00253 |
| Haiku 4.5 | $0.00011 | $0.00127 |
Grade A, and why
fable-goal-cycle 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.
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fable Goal Cycle (adaptive mission loop)
One command mechanizes the loop digest → packet → consult → next prompt:
python3 scripts/fable_goal_cycle.py \
--goal "Standing mission statement, one or two sentences" \
--json
What it does, all bounded:
- Package — snapshots live state (origin/main SHA, branch status, open
non-draft PRs, open epics, worktrees, recent
docs/plans, and the last 24h of agent activity viascripts/agent_session_digest.py --all). Every source has its own short timeout; failures become a "context gaps" section in the packet instead of aborting, so Fable knows what it is not seeing. - Consult — sends the packet to Claude Fable 5 through the bounded
consult tool (
consult_claude.py, resolved from reposcripts/or~/.codex/skills/consult-fable/), default 900s timeout, demanding a fixed response format:## ASSESSMENT,## NEXT GOALS(max 3, ranked),## NEXT PLAN(one cycle only),## NEXT PROMPT(one fenced paste-ready prompt). - Emit — persists
packet.md,response.md,next_prompt.mdunder.aragora/goal_cycles/<timestamp>/(gitignored) and prints the next prompt (or a JSON envelope with--json).
Goal-ranking durability filter: prefer goals whose output is a durable standard — something that takes frontier judgment to WRITE but only ordinary intelligence to APPLY (charters, rubrics, playbooks, skills, checkers). Test: could a cheaper model redo this artifact tomorrow? If yes, rank it lower.
Wrong-hill disclosure: before ranking goals, if the standing mission metric itself is the wrong hill — mis-specified, superseded by events, or clearly worse than an adjacent goal — the consult is expected to say so FIRST in a dedicated 'WRONG HILL' section with one-paragraph evidence, and propose the better goal. Misalignment disclosure is invited and costs nothing; grinding a bad metric costs cycles.
Useful flags: --dry-run (build the packet only — inspect it before spending
a consult), --context-file <path> (repeatable; include a redacted cycle
report or steering note only after placing it under
.aragora/goal-cycle-context/), --since-hours 48, --skip-digest,
--timeout 1200, --model claude-opus-5.
Exit codes: 0 ok, 2 consult failed/timed out, 5 response lacked a
## NEXT PROMPT block (raw response is still saved).
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 · 96 lines · 106 tokens per session scan A e7526076342b
fable-goal-cycle is a skill published in the GitHub repository synaptent/aragora (11 stars, last pushed yesterday), licensed MIT. It adds 106 tokens to every session and 1,267 once invoked, about $0.0004 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.
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