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 Zhang-Henry/CoEvoSkills --skill evo-pptx-embedded-updategit clone --depth 1 https://github.com/Zhang-Henry/CoEvoSkillsWrote 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/zhang-henry/coevoskills/evo-pptx-embedded-update)<a href="https://agentmods.dev/skills/zhang-henry/coevoskills/evo-pptx-embedded-update"><img src="https://agentmods.dev/badge/skills/zhang-henry/coevoskills/evo-pptx-embedded-update/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/zhang-henry/coevoskills/evo-pptx-embedded-update"><img src="https://agentmods.dev/badge/skills/zhang-henry/coevoskills/evo-pptx-embedded-update.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 | $0.00064 | $0.00607 |
| Opus 5 | $0.00032 | $0.00303 |
| Sonnet 5 | $0.00013 | $0.00121 |
| Haiku 4.5 | $0.00006 | $0.00061 |
Grade A, and why
evo-pptx-embedded-update 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 11d 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Embedded Workbook Update in PPTX
Updates one value cell in an embedded Excel workbook inside a PowerPoint file. The update instruction is read from a text-box shape on the slide. All structure (embedded path, worksheet, target cell) is discovered at runtime. Formula cells are kept as formulas but their cached results are recalculated to reflect the new value.
End-to-End Example
The caller sets input_pptx and output_pptx to the paths given by
the task instruction.
import sys
sys.path.insert(0, '/app/environment/skills/evo-pptx-embedded-update/scripts')
from utils import run_end_to_end, validate
input_pptx = '<path from task instruction>'
output_pptx = '<path from task instruction>'
result = run_end_to_end(input_pptx, output_pptx)
validate(output_pptx,
result['from_currency'],
result['to_currency'],
result['new_rate'])
Functions
| Function | Purpose |
|---|---|
scan_textboxes(p) |
Collect text from every text-frame shape |
parse_update_instruction(t) |
Extract (from, to, value) from free text |
locate_embedded_xlsx(p) |
Find the embedded xlsx archive entry |
find_matrix_cell(xb, rl, cl) |
Locate a cell by header matching |
update_embedded_value(ip, op, fl, tl, v) |
Surgical edit with cache refresh |
run_end_to_end(ip, op) |
Full pipeline |
validate(op, fl, tl, r) |
Post-hoc integrity check |
Approach
- Surgical XML edit — the target cell's
<v>text is replaced in the raw XML string. Formula cells that transitively depend on the changed cell have their cached<v>values recalculated. - Formula preservation —
<f>elements are never removed or altered; only<v>cached results are refreshed. - ZIP preservation — every other entry in both the xlsx and pptx archives is copied with original compression, timestamps, and attrs.
- Value formats — user-entered values use
repr()(shortest round-trip decimal); cached formula results use%.17g(full IEEE 754 precision), matching OOXML conventions. - Safe evaluation — formula evaluation supports ROUND() and basic arithmetic via validated expression parsing; unsupported formulas leave cached values unchanged.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 61 lines · 64 tokens per session scan A 9a3f64a69b7d
evo-pptx-embedded-update is a skill published in the GitHub repository Zhang-Henry/CoEvoSkills (66 stars, last pushed 21d ago), licensed Apache-2.0. It adds 64 tokens to every session and 607 once invoked, about $0.0003 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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