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 commands/fockus/skill-memory-bank/goalgit clone --depth 1 https://github.com/fockus/skill-memory-bankWrote 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/commands/fockus/skill-memory-bank/goal)<a href="https://agentmods.dev/commands/fockus/skill-memory-bank/goal"><img src="https://agentmods.dev/badge/commands/fockus/skill-memory-bank/goal.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 | $0.00012 | $0.00617 |
| Opus 5 | $0.00006 | $0.00309 |
| Sonnet 5 | $0.00002 | $0.00123 |
| Haiku 4.5 | $0.00001 | $0.00062 |
Grade A, and why
goal 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 4d 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 — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/mb goal
Scaffold the Dynamic Flow goal primitive — the durable goal.md (end-state +
## Acceptance criteria, the deterministic termination condition) and
project.md (slow-changing non-negotiable constraints read at flow start) — then
validate the goal.
Phase-1 scope: scaffold + validate only. The full
/goallifecycle (status | init | set | done | list) is out of scope here and lands in a later phase. This command does NOT pick a route or run a flow.
What it does
- Resolve the active Memory Bank (
scripts/_lib.sh::mb_resolve_path). - If
.memory-bank/goal.mdis absent, copytemplates/goal.mdto it and tell the user which fields to fill (id,## Description,## Acceptance criteria, andprogress_source). Never overwrite an existinggoal.md. - If
.memory-bank/project.mdis absent, copytemplates/project.mdto it so the slow-changing constraints exist for flow start (REQ-DF-002). Never overwrite an existingproject.md. - Validate the goal with
scripts/mb-goal-validate.sh. A valid goal exits0with{"ok":true}; an invalid one exits1and prints a concrete fix-hint per problem on stderr (missing acceptance, missing/unresolvableprogress_source, ormode: adaptivewithoutreplan_with).
goal.md stays durable-only — no live check-results, no route/phase fields.
Per ADR-5 those ephemeral runtime fields live in the <!-- mb-flow --> fence
inside status.md, so the acceptance aggregator can grep goal.md for
- [x]/N without fence noise.
Usage
# Scaffold both artifacts if absent, then validate the goal.
SKILL_DIR="$(cd "$(dirname "$0")/.." && pwd)" # memory-bank skill bundle root
BANK=".memory-bank"
[ -f "$BANK/goal.md" ] || cp "$SKILL_DIR/templates/goal.md" "$BANK/goal.md"
[ -f "$BANK/project.md" ] || cp "$SKILL_DIR/templates/project.md" "$BANK/project.md"
bash "$SKILL_DIR/scripts/mb-goal-validate.sh" "$BANK/goal.md"
Run it before starting a goal-driven flow. Fix any hint the validator prints,
then re-run until it exits 0.
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.
- 4d ago First seen · 57 lines · 12 tokens per session scan A dcf780d5a86c
goal is a command published in the GitHub repository fockus/skill-memory-bank (25 stars, last pushed 1mo ago), licensed MIT. It adds 12 tokens to every session and 617 once invoked, about $0.0001 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.
Other commands, from other repositories
vitaecontext-github
Audit or improve GitHub profile and repository SEO.
vitaecontext-vitaegraph
Create, validate, index, or use a private VitaeGraph.
setup
Fetch Kobiton credentials from the authenticated MCP server and write them to /.kobiton/.credentials.
bug-check
Run automated tests and build checks first, then agent code review. For each bug found, propose or document a regression test.
review-video
Make a " Reviews" video — a fast, faceless VO montage of REAL, verified competitor reviews that names the recurring complaints and positions YOUR business as the alternative, then hands off to your own customer testimonials.
avatar-vo-reel
Build a fullscreen voiceover-over-b-roll reel — talking-head avatar hook, then fullscreen screen-capture b-roll while the VO continues, lower-third captions, badge swap, SFX.