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/synaptent/aragora/fable-goal-cyclenpx skills add synaptent/aragora --skill fable-goal-cyclegit 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.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 | $0.00106 | $0.01267 |
| Opus 5 | $0.00053 | $0.00633 |
| Sonnet 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 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 — 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.
- 5d 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 today), licensed MIT. It adds 106 tokens to every session and 1,267 once invoked, about $0.0005 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 2026-08-30.
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