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/sunil-goyal-1502/project-memory/memory-shownpx skills add sunil-goyal-1502/project-memory --skill memory-showgit clone --depth 1 https://github.com/sunil-goyal-1502/project-memoryWrote 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/sunil-goyal-1502/project-memory/memory-show)<a href="https://agentmods.dev/skills/sunil-goyal-1502/project-memory/memory-show"><img src="https://agentmods.dev/badge/skills/sunil-goyal-1502/project-memory/memory-show.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 | $0.00004 | $0.00356 |
| Opus 5 | $0.00002 | $0.00178 |
| Sonnet 5 | $0.00001 | $0.00071 |
| Haiku 4.5 | $0.00000 | $0.00036 |
Grade A, and why
memory-show 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.
What it actually says
Show Project Decisions
Display all recorded project decisions grouped by category.
Steps
-
Read
.ai-memory/decisions.jsonlfrom the project root.- If the file doesn't exist, tell the user to run
/project-memory:memory-initfirst. - If the file is empty, tell the user no decisions have been recorded yet.
- If the file doesn't exist, tell the user to run
-
Parse all decisions (one JSON object per line). Skip any malformed lines.
-
Group decisions by category and sort within each group by timestamp (oldest first).
-
Display in a clean format:
For each category, show a section like:
## Architecture (3 decisions) | # | Decision | Rationale | Source | Date | |---|----------|-----------|--------|------| | 1 | Using PostgreSQL for data layer | Best fit for relational data with JSON support | manual | 2025-01-15 | | 2 | REST API over GraphQL | Simpler for our team size | auto | 2025-01-16 |Categories to display (in order): architecture, constraint, convention, testing, scope, explicit, unresolved, other.
-
Show summary: Total decision count, last sync time (from
.ai-memory/metadata.jsonif available), and estimated token count.- Also read cumulative stats from
.ai-memory/metadata.jsonstatsobject and display:"Cumulative memory savings: ~<totalTokens> tokens (~<totalCost>), ~<totalTime> saved across <totalHits> lookups"
- Also read cumulative stats from
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 · 37 lines · 4 tokens per session scan A c181138c4e29
memory-show is a skill published in the GitHub repository sunil-goyal-1502/project-memory (8 stars, last pushed 4mo ago), licensed MIT. It adds 4 tokens to every session and 356 once invoked, about $0.0000 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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