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 VonTerraProject501c3/slushpile --skill explore-experiencegit clone --depth 1 https://github.com/VonTerraProject501c3/slushpileWrote 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/vonterraproject501c3/slushpile/explore-experience)<a href="https://agentmods.dev/skills/vonterraproject501c3/slushpile/explore-experience"><img src="https://agentmods.dev/badge/skills/vonterraproject501c3/slushpile/explore-experience/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/vonterraproject501c3/slushpile/explore-experience"><img src="https://agentmods.dev/badge/skills/vonterraproject501c3/slushpile/explore-experience.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00046 | $0.02274 |
| Opus 5 | $0.00023 | $0.01137 |
| Sonnet 5 | $0.00009 | $0.00455 |
| Haiku 4.5 | $0.00005 | $0.00227 |
Grade A, and why
explore-experience 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 10d 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 — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Explore Experience
Most gaps in a fit assessment are documentation gaps, not experience gaps. The user did the thing; it never made it into profile.md, usually because they did not think of it as the thing the posting is asking for.
This skill finds those, by interview, and writes them down.
Announce at start: "Exploring undocumented experience for $ROLE. Reading the profile and the role requirements now."
Arguments:
$1— a role folder path (containingrole_analysis.mdand/orjob_description.md), or keywords naming the gap areas to explore
Examples:
/slushpile:explore-experience applications/Acme/Engineering/Staff-SRE
/slushpile:explore-experience evaluation pipelines golden datasets
/slushpile:explore-experience incident command on-call escalation
Prerequisites
profile.md— the full backgroundstories.md— so a story surfaced here gets written to the right file- The role's
job_description.mdandrole_analysis.md, if a role path was given
Phase 1: Gap Identification
1a. Map requirements to profile
For each responsibility and qualification in the JD, check whether profile.md contains specific, detailed evidence. Classify each as:
| Status | Meaning |
|---|---|
| COVERED | Profile has specific, detailed evidence with metrics/examples |
| THIN | Profile mentions the area but lacks depth (e.g., one-line bullet for a complex program) |
| MISSING | Profile has no evidence for this requirement |
| ADJACENT | Profile has experience in a related domain that could transfer but isn't framed for this role |
Focus on THIN and ADJACENT items. These are the highest-value interview targets. The user likely has experience here that simply hasn't been documented.
MISSING items are also worth exploring, but set expectations: the user may genuinely not have this experience. Don't force a match.
1b. Prioritize by impact
Rank the gaps by how much surfacing new evidence would improve the fit assessment:
- Responsibilities gaps — these are what the hiring manager will evaluate daily work against
- Min qual gaps — these gate the application
- Preferred qual gaps — these differentiate but don't gate
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.
- 10d ago First seen · 167 lines · 46 tokens per session scan A cdb689f7efe9
explore-experience is a skill published in the GitHub repository VonTerraProject501c3/slushpile (15 stars, last pushed 23d ago), licensed MIT. It adds 46 tokens to every session and 2,274 once invoked, about $0.0002 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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